embracing the ai revolution...in 2019 and 2020, we will be embracing the ai revolution. based on an...
TRANSCRIPT
Updated 01/04/2019
EMBRACING THE AI REVOLUTION
APPG AI PROGRAMME 2019 - 2020
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Partners: Our Group supporters – Accenture, Blue Prism, British Standards Institution, CMS Cameron
McKenna Nabarro Olswang, Creative England, Deloitte, Ernst and Young, KPMG, Megger
Group Limited, Microsoft, Osborne Clarke, PwC, and Rialto – enable us to raise the ambition of
what we can achieve.
Secretariat:
Big Innovation Centre | 8th floor Penthouse, 20 Victoria Street, London SW1H 0NF
Telephone +44 (0)20 3713 4036 | Mobile +44 (0)7944783648
Web www.appg-ai.org
Key Persons: Prof. Birgitte Andersen (CEO & Co-Creator) and Niki Iliadis (Innovation & Policy
Foresight Manager)
2
A society empowered to seize the benefits of AI and protected
against potential risks.
3
Contents Partners: .............................................................................................................................................. 1
Secretariat: .......................................................................................................................................... 1
1. Overview ............................................................................................................................ 5
Figure 1: APPG AI Pillars 2019 - 2020 .............................................................................................. 5
1.1 Call for Task Force Members ......................................................................................................... 5
Figure 2: APPG AI Vision and Outputs 2019 - 2020 ......................................................................... 6
1.2 Education (Pillar 1) ......................................................................................................................... 7
Figure 3: Education Activities and Output ....................................................................................... 7
1.3 Enterprise Adoption of AI (Pillar 2) ................................................................................................ 9
Figure 4: Enterprise Adoption of AI Activities and Output .............................................................. 9
1.4 Citizen Participation (Pillar 3) ......................................................................................................11
Figure 5: Citizen Participation Activities and Output ....................................................................11
1.5 Data Governance (Pillar 4) ...........................................................................................................13
Figure 6: Data Governance Activities and Output .........................................................................13
2. Governance and Task Forces ....................................................................................... 15
Figure 7: APPG AI Structure ...........................................................................................................15
2.1 APPG AI Officers ...........................................................................................................................15
Figure 8: List of APPG AI Officers ...................................................................................................15
2.2 Parliamentary Members ..............................................................................................................16
Figure 9.1: List of Parliamentary Members – House of Commons ................................................16
Figure 9.2: List of Parliamentary Members – House of Lords .......................................................16
2.3 Secretariat ....................................................................................................................................17
Figure 10: List of Secretariat ..........................................................................................................17
2.4 Permanent Advisory Board ..........................................................................................................18
Figure 11: List of Permanent Advisory Board Members ...............................................................18
2.5 Expert Advisers ............................................................................................................................19
Figure 12: List of Expert Advisers *to be updated for 2019-2020 .................................................19
2.6 Task Forces ...................................................................................................................................20
Figure 13: Task Force Responsibilities and Output .......................................................................20
3. Activities .......................................................................................................................... 21
3.1 Parliamentary Evidence Meetings ...............................................................................................21
Figure 14: Evidence Meetings in 2019 ...........................................................................................21
Figure 15: Evidence Meetings in 2020 ...........................................................................................23
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3.2 Dinners .........................................................................................................................................25
Figure 16: Pillar Dinners 2019 ........................................................................................................25
Figure 17: Pillar Dinners 2020 ........................................................................................................25
3.3 Advisory Board Meetings .............................................................................................................26
Figure 18: Advisory Board Meetings..............................................................................................26
3.4 Receptions ...................................................................................................................................27
Figure 19: Receptions 2019 ...........................................................................................................27
Figure 20: Receptions 2020 ...........................................................................................................27
4. Output .............................................................................................................................. 28
4.1 AI Parliamentary Briefs ................................................................................................................28
4.2 AI Pillar Protocols .........................................................................................................................28
Figure 21: Education Protocol Example .........................................................................................29
Figure 22: Enterprise Adoption of AI Protocol Example ................................................................30
Figure 23: Citizen Participation Protocol Example ........................................................................31
Figure 24: Data Governance Protocol Example .............................................................................32
4.3 Video Recordings of Parliamentary Evidence Meetings ..............................................................33
4.4 ‘AI 101’ Course and Lesson Plan ..................................................................................................33
4.5 Organisational Transformation Awards & Showcases ................................................................33
4.6 Protocol Public Surveys................................................................................................................33
5. Sponsorship .................................................................................................................... 34
Figure 25: General Sponsorship Package ......................................................................................34
6. Timetable ......................................................................................................................... 35
Figure 26: APPG AI 2019 Key Dates ...............................................................................................35
Figure 27: APPG AI 2020 Key Dates ...............................................................................................36
Figure 28: APPG AI 2019 Timeline .................................................................................................38
Figure 29: APPG AI 2020 Timeline (*dates to be confirmed) ........................................................38
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1. Overview
The All-Party Parliamentary Group on Artificial Intelligence (APPG AI) was set up in January 2017 with
the aim to explore the impact and implications of Artificial Intelligence.
APPG AI is co-chaired by Stephen Metcalfe MP and Lord Clement-Jones CBE. Big Innovation Centre
is appointed the Group’s Secretariat.
We spent the first two years understanding key economic and socio-ethical implications and we are
now ready to take action.
In 2019 and 2020, we will be EMBRACING THE AI REVOLUTION. Based on an evaluation of
the evidence we have already gathered, our work will focus on four pillars.
Figure 1: APPG AI Pillars 2019 - 2020
All four pillars will aim towards the same long-term vision:
A SOCIETY EMPOWERED TO SEIZE THE BENEFITS OF AI AND PROTECTED
AGAINST POTENTIAL RISKS.
1.1 Call for Task Force Members
Eager to move the conversation forward to tangible (and impactful) output, we are now creating Task
Forces of individuals with the relevant expertise/capacity needed to drive forward the pillar
activities and outputs.
If interested in joining one of the four APPG AI Task Forces, you will be helping the Officers, the
Secretariat, and the Advisory Board achieve all of our objectives - ensuring AI is a force for good in the
UK and internationally.
Applications for participation should be sent to the Big Innovation Centre.
For more information, please see Section 2.6 and the Terms of Reference on the Big Innovation Centre
website: https://www.appg-ai.org/evidence/task-force-terms-of-reference/
EducationEnterprise
Adoption of AICitizen
ParticipationData
Governance
Figure 2: APPG AI Vision and Outputs 2019 - 2020
Our Vision The Four Pillars
Activities
Output
All Party Parliamentary
Group on
Artificial Intelligence
(APPG AI)
A s
ocie
ty e
mp
ow
ere
d to
se
ize
th
e b
en
efits
of A
I a
nd
pro
tecte
d a
ga
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Education
(Pillar 1)
14 Parliamentary Evidence
Meetings
■
6 Dinners
■
8
Advisory Board Meetings
■ 4
Receptions
AI Parliamentary Briefs
■
AI Pillar Protocols
■
Video Recordings of Parliamentary Evidence Meetings
■
‘AI 101’ Course and Lesson Plan (Education Pillar)
■
Organisational Transformation Awards & Showcase (Enterprise Adoption of AI Pillar)
■
Protocol Public Surveys (Citizen Participation Pillar)
Enterprise Adoption of AI
(Pillar 2)
Citizen Participation
(Pillar 3)
Data Governance (Pillar 4)
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1.2 Education (Pillar 1)
Our evidence has shown that education is at the heart of both the opportunities and the risks in the
narratives forming around AI.
AI’s impact on our education system has the potential to be revolutionary. With AI, every child across
the world can have access to personalised learning that is active, authentic, and cooperative. However,
at the same time, the introduction of AI in our society is challenging whether our current education
systems are fit for the unfolding transformations. Are our children being equipped with the skills they
will need in their futures? Can passive learners survive in a world of uncertainty and agility? Do we have
the proper infrastructure, data governance, and oversight to ensure our children are not manipulated
growing up?
The APPG AI Education Pillar will aim to tackle some of these questions over the next two years. We
will focus on how AI can be used as a tool to improve learning, what skills we need to prioritise as a
society, how school curriculums need to transform, and what the role of ethics in education should be.
Figure 3: Education Activities and Output
EDUCATION PILLAR
Type 2019 2020
Parliamentary Evidence Meetings (EM) *see Pages 21-25 for number code
EDUCATION TOOL (EM2) Incorporating AI technologies within learning environments
• How can AI be used as a ‘tool’ in different learning environments and across diverse subjects?
• What is the effect on the student experience? What is the effect on a teacher?
• How can it impact assessment?
SKILLS (EM5) Equipping children with the skillsets they will need in their futures
• What skills will our children need to survive and thrive as employees and as citizens?
• How can we ensure a broad and diverse skillset?
CURRICULUM (EM9) Embedding AI in learning curriculums
• What are the practical steps of embedding AI into curriculums?
• How should AI be introduced to different age groups?
• What should school curriculum (content, materials, aims and learning objectives) look like in a world of AI?
ETHICS (EM10) Learning AI ethical implications
• Should AI’s ethical implications be taught in schools? If so, how?
• How can education ensure all AI developers and users become ethical AI citizens?
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• How should various stakeholders address current skills shortages?
• How can we ensure that AI is adopted ethically in education?
Stakeholder Dinners
An Education System Fit for Today Understanding investment priorities and the need to re-engineer learning
Can AI be an Educator’s Wish Come True? Unpacking how AI can completely transform assessment
Receptions
Big Innovation Centre Spring Party AI Christmas Reception
Big Innovation Centre Spring Party AI Christmas Reception
Education Protocols
Protocols on how learning environments should think forward about AI adoption – setting fit for purpose policies supporting those aims
• We will consider the purpose of applying AI in various education modules (from English, math and science to art, technology, music and sport), and what the ethical, safety and trust-based considerations are regarding the AI applications within education? What makes AI solutions in education sustainable and scalable? What impact will they have for all teachers, students, education productivity, and future employees or even for doing homework?
• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within education to achieve the learning objectives?); service excellence (how well does an AI-solution serve the student?) and product excellence (what is a good quality tool?)
‘AI 101’ Course and Lesson Plans
AI lesson plan explaining what AI is, its various use cases, as well as some of the key socio-ethical implications. The lesson plan will be created for MPs to use across schools in their constituencies. It will be presented in a Parliamentary workshop in which Members from the House of Commons and the House of Lords will be briefed on the key AI policy implications.
AI Parliamentary Briefs
A brief for MPS, providing them with an overview of each evidence meeting, written evidence submitted by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.
Video Recordings of Parliamentary Evidence Meetings
Video Recordings published on the APPG AI website following each evidence meeting
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1.3 Enterprise Adoption of AI (Pillar 2)
Enterprise adoption of AI is steadily growing as more and more companies realise the opportunities that
AI offers. However, there are still many barriers that companies need to overcome to ensure they get
adoption and implementation right.
Barriers range from financial obstacles to employee backlash to lack of data infrastructure. A gap
separating the companies with the capacity to roll out such a large transformation and those that do not
has started to form. Additionally, the negative reaction of replacing a large workforce could arguably
outweigh quick adoption despite its increased efficiency. Lastly, many companies lack the data needed
to adopt and implement AI programmes.
The Enterprise Adoption of AI Pillar will help identify these barriers and explore how to break them
down. Furthermore, the pillar will focus on the need to transform organisations and the changing
relationship between businesses and their customers.
Figure 4: Enterprise Adoption of AI Activities and Output
ENTERPRISE ADOPTION OF AI PILLAR
Type 2019 2020
Parliamentary Evidence Meetings (EM) *see Pages 21-25 for number code
IMPLEMENTATION (EM3) Breaking barriers to AI adoption and understanding industry differences
• What are the biggest obstacles preventing enterprise from adopting AI?
• Do the barriers differ based on industry and/or size?
• How can Government help break these barriers? What is the role of regulatory bodies?
TRANSFORMING ORGANISATIONS (EM6) Changing organisational models, reskilling employees, and rethinking leadership
• How do organisational models and cultures become more agile to deal with the changes AI brings?
• What is the role of a leader in today’s era? What does it
BUSINESS TO CUSTOMER (EM10)
• How does AI transform the business to customer transaction? What does the transformation mean for the relationship (from efficiency, to trust and social capital)?
• To what extent is AI enabling better market relationships, what are we losing, and what are the risks?
• What obligations do businesses have to customers when transactions are made via AI applications?
PRODUCTIVITY (EM13) Using AI to boost productivity and drive down inefficiencies
• What infrastructure does an organisation need to successfully adopt AI?
• How is AI being used by enterprise to improve productivity?
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mean to lead an organisation of humans and machines?
• How do organisations reskill and upskill their employees?
• Who within an organisation is responsible for adopting AI to drive productivity?
Stakeholder Dinners
Post-Brexit 4.0 Identifying opportunities, risks, and best practices for sustainable innovation after Brexit
Leadership in an AI World Unpacking what it means to be a leader in an AI society
Receptions
Big Innovation Centre Spring Party AI Christmas Reception
Big Innovation Centre Spring Party AI Christmas Reception
Enterprise Adoption of AI Protocols
Protocols on how business environments should think forward about AI adoption - setting fit for purpose policies supporting those aim
• We will consider the purpose of applying AI in various business sectors, and what the ethical, safety and trust-based considerations are regarding such AI applications? What makes the AI solutions in businesses sustainable and scalable? What impact will they have for leaders, workers, productivity, and other.
• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within a business practice to achieve certain outcomes?); service excellence (how well does an AI-solution serve the workers doing the jobs?) and product excellence (what is a good quality tool?)
Protocols on how business to customer relationship should think forward about the use of AI in their transactional relationship – setting fit for purpose policies supporting those aims
• We will consider the purpose of applying AI in various business to customer relationships, and what the ethical, safety and trust-based considerations are regarding AI applications within such relationships? What makes the AI solutions in business to customer relationships sustainable and scalable? What impact will they have on businesses, customers, productivity, and other.
• We will consider “what does good looks like with respect to operational, service and product excellence in business to customer relationships.
Organisational Transformation Awards & Showcase
Cross-industry competition showcasing how organisations are transforming in the age of AI. Categories include: case studies of successful retraining programmes, policies to promote diverse teams, examples of incentivising broad skills and lifelong learning, etc.
AI Parliamentary Briefs
A brief for MPS, providing them with an overview of each evidence meeting, written evidence by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.
Video Recordings of Parliamentary Evidence Meetings
Video Recordings published on the APPG AI website following each evidence meeting
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1.4 Citizen Participation (Pillar 3)
As AI is impacting all of us – regardless of demographics, industry, discipline, or region - it is absolutely
critical to engage a diverse set of voices in the discussions around AI governance. AI technologies do
indeed promise us many opportunities on a national, social, and individual level; but these AI
technologies also have complications and hazards.
The wider society needs to know these – both the opportunities and the risks. We need to engage
citizens in the conversations around what AI is, what it is not, how it is being used, what is its potential,
and what are its implications. Ultimately, AI should be developed and deployed based on the values of
society, as articulated through a deliberative and inclusive dialogue between experts and citizens.
Once citizens are aware of AI and its consequences however, they will be empowered to engage in
making decisions around it. The Citizen Participation Pillar will aim to do just that. First, it will explore
ways to build AI public awareness and, second, it will promote diverse and inclusive engagement in the
discussions around AI governance. Helping citizens understand AI’s impact in each of their daily lives,
this pillar will hope to make AI something of today and not the future. Very important is to engage
perspectives from different backgrounds, ages, races, disciplines, and regions in these discussions —
as no one is just a beneficiary, but essential actors in finding solutions to the critical AI issues faced by
the world today.
Figure 5: Citizen Participation Activities and Output
CITIZEN PARTICIPATION PILLAR
Type 2019 2020
Parliamentary Evidence Meetings (EM) *see Pages 21-25 for number code
DIVERSITY (EM4) Ensuring a diverse set of voices shape our tomorrow
• Which demographics are underrepresented in AI?
• Does AI reinforce or narrow inequality gaps?
• What are the practical steps of ensuring decision-making around AI is inclusive and diverse?
AI & ME (EM7) Building awareness of how AI impacts the daily lives of individuals
• How do we get citizens to understand AI and its impact?
ENGAGEMENT (EM11) Promoting public engagement across sectors, industries, and regions
• How do we educate citizens to be drivers of AI utility and not passive bystanders?
• How can we use AI to remove barriers to achieve inclusive access?
• Should AI be on the top of the policy agenda? How do we get it there?
YOUTH (EM14) Empowering the youth and listening to their perspectives
• How is AI impacting our youth and their futures?
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• How has AI already changed the daily lives of individuals? What does AI mean for wellbeing?
• How is AI being implemented in homes? In transportation? In hospitals? In policy?
• How do we raise AI awareness amongst young people and encourage them to engage in the conversations happening around AI?
• What is the mechanism to ensure young people have a voice in how we respond to AI?
Stakeholder Dinners
It Takes a Village Mapping a diverse and cross-disciplinary ecosystem
Individual vs. the Collective Analysing the dynamics between individual and collective rights
Receptions
Big Innovation Centre Spring Party AI Christmas Reception
Big Innovation Centre Spring Party AI Christmas Reception
Citizen Participation Protocols
Protocols on how citizen participation could and should think forward about AI adoption - setting fit for purpose policies supporting those aims
• We will consider the purpose of applying AI in various citizen participation scenarios, and what the ethical, safety and trust-based considerations are regarding the AI applications within citizen participation? What makes the AI applications in citizen participation sustainable and scalable? What impact will they have for all citizens and decision makers, governors and policy makers?
• We will consider “what does good looks like?” regarding operational excellence (how do we know when an AI-solution is good to operate within citizen participation to achieve improved processes; service excellence (how well does an AI-solution serve the citizen?) and product excellence (what is a good quality tool?)
Protocol Public Surveys
A series of public surveys encouraging the wider society to provide input for the AI protocols. Results will be presented at respective evidence meetings.
AI Parliamentary Briefs
A brief for MPS, providing them with an overview of each evidence meeting, written evidence by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.
Video Recordings of Parliamentary Evidence Meetings
Video Recordings published on the APPG AI website following each evidence meeting
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1.5 Data Governance (Pillar 4)
It is impossible to think of AI and data in silos. Access to accurate and quality data is critical to make AI
work. In fact, it is argued that AI can only be as good as the data from which it draws interferences.
Hence, for society to reap the benefits of AI we need to ensure we have the right data structures and
governance mechanisms in place.
While personal data has become one of the driving forces of the AI revolution, the value it generates is
not fairly distributed. Organisations rely on the collection of personal data to build large datasets which
they use to feed into their AI systems. The output of these AI technologies bring about much profit,
however that value rarely trails down to the original source: the individual.
Issues like this raise questions on how data should be collected, used, and managed. Ultimately, a key
question has evolved around data ownership and user rights.
The Data Governance Pillar will explore the interrelationship of data governance and AI governance,
focusing on understanding how data used by AI systems is gathered and applied. Furthermore, it will
explore the concept of data ownership, especially in a context where the vast majority of data today is
generated by different players through a handful of technologies.
Figure 6: Data Governance Activities and Output
DATA GOVERNANCE PILLAR
Type 2019 2020
Parliamentary Evidence Meetings (EM) *see Pages 21-25 for number code
COLLECTION & USE (EM1) Raising awareness of how different players collect, manage, and use personal data
• How is data currently being collected and used by AI technologies, and is our data infrastructure fit for purpose?
• What is the proper way of seeking consent for using an individual’s data?
• Who should ultimately oversee the use of personal data for AI systems?
OWNERSHIP & RIGHTS (EM8) Implications of data ownership, privacy rights, and user rights
• What are the various models for data ownership and user-rights? Their strengths and weaknesses?
• How can individuals claim control over use of their personal data, or should they not be able to?
• Should we think of data as a commodity or as a ‘creative commons’ good that can deliver public value?
Receptions
Big Innovation Centre Spring Party AI Christmas Reception
Big Innovation Centre Spring Party AI Christmas Reception
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Data Governance Protocols
Protocols on data governance in an AI world where value is created through sharing personal and business data, and on how fit for purpose policies can support those aims
• We will consider the purpose of applying AI in various data sharing scenarios, and what the ethical, safety and trust-based considerations are regarding data governance? What makes data sharing solutions sustainable and scalable? What impact will effective data governance have for all citizens, businesses and society?
• We will consider “what does good looks like?” regarding operational excellence (how do we know when a data governance solution is good to operate within AI environments to achieve various objectives?); service excellence (how well does a data governance solution serve the customer and the citizen?) and product excellence (what is a good quality data governance form?)
AI Parliamentary Briefs
A brief for MPS, providing them with an overview of each evidence meeting, written evidence submitted by the respective stakeholders, and a clear structure relating what was discussed to policy issues. Briefs will also include handy facts, figures, and news from the realm of AI.
Video Recordings of Parliamentary Evidence Meetings
Video Recordings published on the APPG AI website following each evidence meeting
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2. Governance and Task Forces The APPG AI Governance is broken into four subgroups: the APPG AI Officers, the APPG AI
Secretariat, the APPG AI Permanent Advisory Board, and the APPG AI Expert Advisers. Pillar Task
Forces support these subgroups in delivering all activities and outputs.
Figure 7: APPG AI Structure
2.1 APPG AI Officers
The Officers include elected members from the House of Commons and House of Lords.
Figure 8: List of APPG AI Officers
STEPHEN
METCALFE MP Chair,
Conservative
LORD CLEMENT-
JONES Chair, Lib Dem
THE LORD BISHOP OF
OXFORD Treasurer, Bishops
CHRIS GREEN MP
Secretary, Conservative
JUSTIN MADDERS MP
Vice Chair, Labour
CAROL
MONAGHAN MP Vice Chair, SNP
BARONESS
MCGREGOR-SMITH
Vice Chair, Conservative
LORD HOLMES
Vice Chair, Conservative
MARK HENDRICK MP
Vice Chair, Labour
LORD
BROERS Vice Chair, Crossbench
LORD WILLETS Vice Chair,
Conservative
BARONESS
SUSAN KRAMER Vice Chair, Lib
Dem
LORD JANVRIN Vice Chair, Crossbench
Structure
Governance
APPG AI Officers
SecretariatPermanent
Advisory BoardExpert Advisers
Task Forces
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2.2 Parliamentary Members
Figure 9.1: List of Parliamentary Members – House of Commons
Democrat
Eleanor Smith MP,
Labour
Clive Efford MP, Labour
Jon Cruddas MP, Labour
Jo Swinson MP, Liberal Democrat
Mr Lee Rowley MP, Conservative
Dame Eleanor
Laing MP, Conservative
Ruth Cadbury MP, Labour
Patrick Grady MP, SNP
Layla Moran MP, Liberal Democrat
Rt Hon Liam Byrne MP,
Labour
Scott Mann MP,
Conservative
Alex Sobel MP, Labour
Anna McMorrin MP,
Labour
Darren Jones MP, Labour
Craig Tracey MP,
Conservative
Anna Turley MP, Labour
Figure 9.2: List of Parliamentary Members – House of Lords
The Earl of Erroll,
Crossbench
The Lord Haskel, Labour
Lord Richard Inglewood,
Non-affiliated
The Lord Wei, Conservative
The Baroness
Rock, Conservative
The Lord Fairfax of Cameron -
Conservative
The Earl of Glasgow,
Liberal Democrat
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2.3 Secretariat
Big Innovation Centre is appointed the Group’s Secretariat. The Secretariat is responsible for delivering
the programme for the APPG AI, organising the outputs, advocacy and outreach, and managing
stakeholder relationships and partnerships.
Figure 10: List of Secretariat
PROFESSOR BIRGITTE ANDERSEN
CEO & Co-Creator
NIKI ILIADIS Innovation & Policy Foresight Manager
ROXY IQBAL Global Brand &
Communciations Manager
DARREN IU Events and
Partnerships Coordinator
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2.4 Permanent Advisory Board
Representatives from our partner organisations sit on the Permanent Advisory Board.
Figure 11: List of Permanent Advisory Board Members
RUMMAN CHOWDHURY
Global Lead for Responsible AI,
Accenture
IAN WEST Director, Advisory
Services, Blue Prism
DR SCOTT STEEDMAN Director of
Standards (SP), BSI Group
CHARLES KERRIGAN
Partner, Banking & International
Finance Team, CMS
CAROLINE NORBURY
CEO, Creative England
MICHAEL HOWARD
Director Artificial Intelligence,
Deloitte
SARAH RENCH Artificial
Intelligence, Advanced Analytics
SHAMUS RAE Partner Head of
Digital Disruption, KPMG
JIM FAIRBAIRN CEO, Megger Group Limited
MICHAEL WIGNALL National
Technology Officer Microsoft UK
JOHN BUYERS Partner, Osborne
Clarke
ROB MCCARGOW Director of AI, PwC
RICHARD CHIUMENTO
Director, Rialto
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2.5 Expert Advisers
Ad-hoc advisers, who have made significant contributions in AI fields relevant to the group, are selected
to support in the development and delivery of the Group’s overall programme or specific working areas.
Figure 12: List of Expert Advisers *to be updated for 2019-2020
Name Profession Affiliation
Abhijit Akerkar Head of Delivery, Bank of Future Pilot Lloyds Banking Group
Andy Pardoe Top 30 Global Influencer on AI, Leadership Council
homeAI
Ankur Modi CEO Status Today
Blay Whitby Teaching Fellow in Computer Science (Informatics)
University of Sussex
Calum Chace Author 'The Economic Singularity: Artificial intelligence and the death of capitalism'
Christopher Bishop
Director MSR Cambridge Microsoft
Clive Gringas Head of Technology, Media and Telecommunications
CMS
Euan Cameron
UK AI Lead PwC
Joanna Bryson
Associate Professor, Department of Computer Science, University of Bath,
University of Bath & Princeton University
Justin Andersen
Director of Global Emerging Technology KPMG
Kay Firth - Butterfield
Head of AI and Machine Learning World Economic Forum
Krishna Sood Senior Attorney Microsoft
Margaret Boden
Research Professor of Cognitive Science (Informatics, Centre for Cognitive Science)
University of Sussex
Noel Sharkey Emeritus Professor of AI and Robotics, CoDirector Foundation for Responsible Robotics, Chair ICRAC, Public engagement
Sheffield University
Peter McOwan Professor of Computer Science
School of Electronic Engineering and Computer Science at Queen Mary, University of London
Richard Susskind
IT Adviser to the Lord Chief Justice, pioneer in AI and law
Oxford Internet Institute
Stephen Cave Executive Director Leverhulme Centre for the Future of Intelligence
Tim McGarr Market Development Manager for the Digital Area within Standards Development
BSI
Victoria McCloud
Master of the Senior Courts, Queen’s Bench High Court in London
20
2.6 Task Forces
The complex nature of AI’s impact on the economy and the society requires that the activities and output
are carried out with close collaboration between individuals representing a variety of backgrounds and
disciplines, including policy, philosophy, technology, education, and business. Hence, a Task Force will
be created for each of the four pillars, to help the APPG AI deliver its activities and outputs. We welcome
individuals across sectors and industries, with both the capacity and the expertise to assist APPG AI in
fulfilling its objective.
If interested in joining, please email the APPG AI Secretariat ([email protected]). Please
submit the following:
• A copy of your short bio or CV
• A short paragraph explaining your expertise/interest in joining a specific task force
• A written commitment you have read the roles and responsibilities, and agree you have the
capacity to fulfil them
For more information, please see the Terms of Reference on the Big Innovation Centre website:
https://www.appg-ai.org/evidence/task-force-terms-of-reference/
Figure 13: Task Force Responsibilities and Output
Pillar Role Activities Output
Education Pillar 1
Each Task Force will:
• consist of 6+ individuals
• attend Task Force launch (annual)
• meet 4 times per year (in person or online)
• provide input to the respective APPG AI Pillar activities and output
• compile the pillar specific protocols
• finalise Parliamentary Evidence Meetings, suggesting speakers and confirming questions
• support in building partnerships with relevant bodies
Each Task Force will support Secretariat in facilitating the activities related to its respective pillars:
• 4 Parliamentary Evidence Meetings (2 per year)
• 2 Dinners (1 per year)
• 8 APPG AI Advisory Board Meetings (per year)
• 4 Receptions (2 per year)
Each Task Force will support Secretariat in delivering the output related to its respective pillar:
• ‘AI Highlights’ Parliamentary Briefs (All Pillars)
• AI ‘How Should’ Protocols (All Pillars)
• Online Recordings of Parliamentary Evidence Meetings (All Pillars)
• ‘AI 101’ Course and Lesson Plan (Education Pillar)
• Organisational Transformation Awards & Showcase (Enterprise Adoption of AI Pillar)
• Protocol Public Surveys (Citizen Participation Pillar)
Enterprise Adoption of
AI Pillar 2
Citizen Participatio
n Pillar 3
Data Governance
Pillar 4
21
3. Activities
The APPG AI Officers, Secretariat, Permanent Advisory Board and Task Forces will be responsible for
organising and facilitating a number of mandatory events, including 7 Evidence Meetings, 1 Dinner, 2
Receptions, and 4 Advisory Board Meetings per year.
3.1 Parliamentary Evidence Meetings
Two evidence meetings per year are allocated to the Education Pillar, the Enterprise Adoption of AI
Pillar, and the Citizen Participation Pillar. One evidence meeting will be allocated to the Data
Governance Pillar.
Evidence meetings will be recorded and available online for the general public.
Figure 14: Evidence Meetings in 2019 (please be aware that dates/locations might change
throughout the year)
Type Theme Key Questions Date Location
Evidence
Meeting 1:
Data
Governance
COLLECTION & USE Raising awareness
of how different
players collect,
manage, and use
personal data
• How is data currently being used by AI technologies?
• What is the proper way of seeking consent for using an individual’s data?
• Who should ultimately oversee the use of personal data for AI systems?
28 January 2019
Committee Room 1, Houses of Parliament
Evidence
Meeting 2:
Education
EDUCATION TOOL Incorporating AI technologies within learning environments
• How can AI be used as a ‘tool’ in different learning environments and across diverse subjects?
• What is the effect on the student experience? What is the effect on a teacher?
• How can it impact assessment?
18 March 2019 Committee Room 2, Houses of Parliament
Evidence
Meeting 3:
Enterprise
Adoption of AI
IMPLEMENTATION Breaking barriers to AI adoption and transforming organisations
• What are the biggest obstacles preventing enterprise from adopting AI?
13 May 2019 Committee Room 1, Houses of Parliament
22
• Do the barriers differ based on industry and/or size?
• How can Government help break these barriers? What is the role of regulatory bodies?
Evidence
Meeting 4:
Citizen
Participation
DIVERSITY Ensuring a diverse
set of voices shape
our tomorrow
• Which demographics are underrepresented in AI?
• Does AI reinforce or narrow inequality gaps?
• What are the practical steps of ensuring decision-making around AI is inclusive and diverse?
3 June 2019 Committee Room 2, Houses of Parliament
Evidence
Meeting 5:
Education
SKILLS
Equipping children
with the skillsets
they will need in
their futures
• What skills will our children need to survive and thrive as employees and as citizens?
• How can we ensure a broad and diverse skillset?
• How should various stakeholders address current skills shortages?
8 July 2019 Committee
Room 4A,
Houses of
Parliament
Evidence
Meeting 6:
Enterprise
Adoption of AI
TRANSFORMING ORGANISATIONS Changing organisational models, reskilling employees, and rethinking leadership.
• How do organisational models and cultures become more agile to deal with the changes AI brings?
• What is the role of a leader in today’s era? What does it mean to lead an organisation of humans and machines?
• How do organisations reskill and upskill their employees?
14 October
2019
Committee
Room 2,
Houses of
Parliament
Evidence
Meeting 7:
Citizen
Participation
AI & ME
• How do we get citizens to understand AI and its impact?
• How has AI already changed the daily lives of individuals?
18 November
2019
Committee
Room 2,
Houses of
Parliament
23
Building awareness
of how AI impacts
the daily lives of
individuals
What does AI mean for wellbeing?
• How is AI being implemented in homes? In transportation? In hospitals? In policy?
Figure 15: Evidence Meetings in 2020 (please be aware that dates/locations might change
throughout the year)
Type Theme Key Questions Date Location
Evidence
Meeting 8:
Data Governance
OWNERSHIP & RIGHTS Implications of data ownership, privacy rights, and user rights
• What are the various models for data ownership? Their strengths and weaknesses?
• How can individuals reclaim control over their personal data?
• Should we think of data as a commodity or as a common good that can deliver public value?
2020 TBC Houses of Parliament TBC
Evidence
Meeting 9:
Education
CURRICULUM Embedding AI into teaching curriculums
• What are the practical steps of embedding AI into curriculums?
• How should AI be introduced to different age groups?
• What should school curriculum (content, materials, aims and learning objectives) look like in a world of AI?
2020 TBC Houses of Parliament TBC
Evidence
Meeting 10:
Enterprise
Adoption of AI
BUSINESS TO CUSTOMER
• How does AI transform the business to customer transaction? What does the transformation mean for the relationship?
• To what extent is AI
enabling better
transactions and/or
relationships?
• What obligations do businesses have in
2020 TBC Houses of Parliament TBC
24
transactions using AI? To consumers as customers? To other businesses as customers? To society?
Evidence
Meeting 11:
Citizen
Participation
ENGAGEMENT Promoting public engagement across sectors, industries, and regions
• How do we educate citizens to be drivers of AI utility and not passive bystanders?
• How can we use AI to remove barriers to achieve inclusive access?
• Should AI be on the top of the policy agenda? How do we get it there?
2020 TBC Houses of Parliament TBC
Evidence
Meeting 12:
Education
ETHICS
Learning AI
ethical
implications
• Should AI’s ethical implications be taught in schools? If so, how?
• How can education ensure all AI developers and users become ethical AI citizens?
• How can we ensure that AI is adopted ethically in education?
2020 TBC Houses of
Parliament
TBC
Evidence
Meeting 13:
Enterprise
Adoption of AI
PRODUCTIVITY
Using AI to boost
productivity and
drive down
inefficiencies
• What infrastructure does an organisation need to successfully adopt AI?
• How is AI being used by enterprise to improve productivity?
• Who within an organisation is responsible for adopting AI to drive productivity?
2020 TBC Houses of
Parliament
TBC
Evidence
Meeting 14:
Citizen
Participation
YOUTH
Empowering the
youth and
• How is AI impacting our youth and their futures?
• How do we raise AI awareness amongst young people and encourage them to engage in the conversations happening around AI?
2020 TBC Houses of
Parliament
TBC
25
listening to their
perspectives
• What is the mechanism to ensure young people have a voice in how we respond to AI?
3.2 Dinners
The Education, Enterprise Adoption of AI, and Citizen Participation Pillars will also be responsible for
organising one stakeholder dinner per year to further deep dive into a specific issue.
Figure 16: Pillar Dinners 2019
Type Topic Special Guest
Invited
Chair Date Location
Education Dinner
An Education System Fit for Today Investment and Re-engineering Learning
Secretary of State for Education
Stephen Metcalfe and Lord Clement-Jones
4 March 2019
Attlee Room, Houses of Parliament
Enterprise Adoption of AI
Dinner
Post-Brexit 4.0 Breaking Barriers to Innovation after Brexit
AI Council
Stephen Metcalfe and Lord Clement-Jones
24 June 2019
Attlee Room, Houses of Parliament
Citizen Participation
Dinner
It Takes a Village Stakeholder Mapping of Different Voices
Minister for Digital and the Creative Industries
Stephen Metcalfe and Lord Clement-Jones
4 November
2019
Attlee Room, Houses of Parliament
Figure 17: Pillar Dinners 2020
Type Topic Special Guest
Invited
Chair Date Location
Education Dinner
An Educator’s Wish Come True? Unpacking how AI Transforms Assessment
Institute of Ethics for AI in Education
Stephen Metcalfe and Lord Clement-Jones
2020 TBC Houses of Parliament TBC
Enterprise Adoption of AI
Leadership in an AI World TechUK
Stephen
2020 TBC Houses of Parliament
26
Dinner Unpacking what it means to be a leader in an AI society
Metcalfe and Lord Clement-Jones
TBC
Citizen Participation
Dinner
Individual vs. the Collective Analysing the dynamics between individual and collective rights
Minister for Small Business, Consumers and Corporate Responsibility
Stephen Metcalfe and Lord Clement-Jones
2020 TBC Houses of Parliament TBC
3.3 Advisory Board Meetings
There will be quarterly advisory board meetings to co-set strategy on topics and provide feedback on
the output of each pillar’s activities.
Each Task Force will be expected to present progress and updates to the Steering Board.
Figure 18: Advisory Board Meetings (all held in Parliament)
2019 2020
• 28 January 2019
• 3 June 2019
• 14 October 2019
• 9 December 2019
• Dates to be confirmed.
27
3.4 Receptions
The APPG AI will also organise two receptions to celebrate the activities and outputs of the group. The
Spring Party will be held in partnership with the Big Innovation Centre at an external venue, and the
Christmas Dinner at the House of Lords Terrace.
Figure 19: Receptions 2019
Type Date Location
Big Innovation Centre Spring
Party 23 May 2019
Millbank Tower
AI Christmas Reception
9 December 2019 Cholmondeley Room and Terrace
Figure 20: Receptions 2020
Type Date Location
Big Innovation Centre Spring
Party April 2020
Millbank Tower
AI Christmas Reception
December 2020 House of Lords Terrace
28
4. Output
The Secretariat and Task Forces will be responsible for delivering the following outputs.
4.1 AI Parliamentary Briefs
‘AI Parliamentary Briefs will be created for all members from the House of Commons and selected
members from the House of Lords following each Evidence Meeting. The reports will feature overviews
of each Evidence Meeting and the written evidence submitted by the respective stakeholders.
Furthermore, the reports will aim to inform Parliamentarians the key issues around AI and showcase
handy facts, news, and relevant findings in the space of AI.
The reports will also include findings from APPG AI surveys, to be conducted periodically throughout
the year as under the Citizen Participation pillar.
Hard copies will be mailed to the Parliamentarians and available for the public on the APPG AI website.
4.2 AI Pillar Protocols
EDUCATION: A ‘best practice’ guidance for how AI should be adopted in the classroom, and under
what assumptions and conditions. (see Figure 3 for more details)
ENTERPRISE ADOPTION OF AI: A ‘best practice’ guidance for how AI should be adopted in a business
environment, and under what assumptions and conditions. & A ‘best practice’ guidance on the rules,
norms, and standards when AI is used in B2C Transactions. (see Figure 4 for more details)
CITIZEN PARTICIPATION: A ‘best practice’ guidance on how citizen participation could and should
use AI adoption for decision making and influencing. This could include anything from city or state
governance, to how AI should be implemented in one’s daily life (from health to travel). (see Figure 5
for more details)
DATA GOVERNANCE: A ‘best practice’ guidance on data governance at all levels in an AI world
where value is created through sharing personal and business data, and on how fit for purpose
policies can support those aims. (see Figure 6 for more details)
The protocols should focus on the principles: Purpose, Ethics, Safety, Trust, Sustainability, and
Impact (see Figure 3, 4, 5 and 6 for more details), and used to set fit for purpose policies supporting
those aims.
The protocols are created from a public survey ahead of each meeting. The results of the survey will
be presented at each Parliamentary Evidence Meeting. The design and scope of the Protocol-surveys
will be created by the Secretariat, in interaction with, and with feedback from, the Task Force
participants.
Figures 21, 22, 23, and 24 are examples of what the protocols can look like.
29
Figure 21: Education Protocol Example
A clear framework outlining the guidelines for why, where, when, and by whom AI should be embedded in education – following principles of purpose, ethics,
safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.
PROTOCOL GUIDELINES
PURPOSE ETHICS SAFETY TRUST SUSTAINABILITY IMPACT
ED
UC
AT
ION
Em
bed
din
g A
I in
th
e c
lassro
om
1. Why? 1. Why? 1. Why? 1. Why? 1. Why? 1. Why?
2. Where? 2. Where? 2. Where? 2. Where? 2. Where? 2. Where?
3. When? 3. When? 3. When? 3. When? 3. When? 3. When?
4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom?
•Clear ways to TEST if the protocols are followed.
TEST
•Clear statements allocating ACCOUNTABILITY for protocols.ACCOUNTABILITY
30
Figure 22: Enterprise Adoption of AI Protocol Example
A clear framework outlining the guidelines for why, where, when, and by whom AI should be used in business and in B2C transactions – following principles of
purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.
PROTOCOL GUIDELINES
PURPOSE ETHICS SAFETY TRUST SUSTAINABILITY IMPACT
EN
TE
RP
RIS
E A
DO
PT
ION
OF
AI
Us
ing
AI in
B2
C T
ran
sac
tio
ns
1. Why? 1. Why? 1. Why? 1. Why? 1. Why? 1. Why?
2. Where? 2. Where? 2. Where? 2. Where? 2. Where? 2. Where?
3. When? 3. When? 3. When? 3. When? 3. When? 3. When?
4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom?
•Clear ways to TEST if the protocols are followed.
TEST
•Clear statements allocating ACCOUNTABILITY for protocols.ACCOUNTABILITY
31
Figure 23: Citizen Participation Protocol Example
A clear framework outlining the guidelines for why, where, when, and by whom AI should be implemented in citizen participation and individuals’ daily lives –
following principles of purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.
PROTOCOL GUIDELINES
PURPOSE ETHICS SAFETY TRUST SUSTAINABILITY IMPACT
CIT
IZE
N P
AR
TIC
IPA
TIO
N
AI Im
ple
me
nte
d in
MY
Da
ily
Lif
e
1. Why? 1. Why? 1. Why? 1. Why? 1. Why? 1. Why?
2. Where? 2. Where? 2. Where? 2. Where? 2. Where? 2. Where?
3. When? 3. When? 3. When? 3. When? 3. When? 3. When?
4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom?
•Clear ways to TEST if the protocols are followed.
TEST
•Clear statements allocating ACCOUNTABILITY for protocols.ACCOUNTABILITY
32
Figure 24: Data Governance Protocol Example
A clear data governance framework outlining the guidelines for why, where, when, and by whom AI should be implemented when data are shared (and vise
versa) – following principles of purpose, ethics, safety, trust, sustainability, and impact. Protocol statements should meet testability and accountability standards.
PROTOCOL GUIDELINES
PURPOSE ETHICS SAFETY TRUST SUSTAINABILITY IMPACT
DA
TA
GO
VE
RN
AN
CE
1. Why? 1. Why? 1. Why? 1. Why? 1. Why? 1. Why?
2. Where? 2. Where? 2. Where? 2. Where? 2. Where? 2. Where?
3. When? 3. When? 3. When? 3. When? 3. When? 3. When?
4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom? 4. By whom?
•Clear ways to TEST if the protocols are followed.
TEST
•Clear statements allocating ACCOUNTABILITY for protocols.ACCOUNTABILITY
33
4.3 Video Recordings of Parliamentary Evidence
Meetings
Each Parliamentary evidence meeting will be recorded and published on the APPG AI website
approximately two weeks after the event.
4.4 ‘AI 101’ Course and Lesson Plan
An AI lesson plan will be developed by the Education Task Force and the Secretariat - explaining
what AI is, its various use cases, as well as some of the key socio-ethical implications. The lesson
plan will be created for MPs to be used across schools in their constituencies. An upgraded version
of the pilot Envision the Future school competition will be part of the plan’s activities.
A workshop for all members from the House of Commons and House of Lords will be organised to
present the lesson plan. The workshop will also information Parliamentarians on the key policy issues
around AI. Members will be encouraged to attend using a personalised invitation highlighting how AI is
likely to influence each of their constituencies.
The workshop itself will be a short briefing about what AI is, what are the key use cases, and what are
the policy implications. The workshop is to be attended by Parliamentarians, the Secretariat, and the
Advisory Board.
4.5 Organisational Transformation Awards & Showcases
The Secretariat and the ‘Enterprise Adoption of AI’ Task Force will launch a competition encouraging
companies across industries and sectors to submit examples of how they are successfully transforming
their organisations in an increasingly AI economy. Categories are likely to include case studies of
retraining schemes, promotion of diverse and inclusive teams, policies which reward broad skills, etc.
The submissions, in whole, will showcase ‘good practice’ in organisational transformation. APPG AI
Officers will select the winners amongst the submissions.
4.6 Protocol Public Surveys
As part of each protocol, the ‘Citizen Participation’ Task Force and the Secretariat will launch public
surveys asking for the wider society to contribute to the findings of the protocol. The results will be
presented at each evidence meeting and, also, highlighted as part of the AI Parliamentary Briefs.
34
5. Sponsorship
To achieve our objective and deliver on the three pillars, we need enthusiastic partners to catalyse the development of the APPG AI programme. Partners will co-support the development of the growing UK’s AI community composed of parliamentarians, entrepreneurs, businesses, academics and thought leaders. APPG AI is not funded by taxpayer’s contribution but through sponsors joining in an open policy-making system as strategic partners with industry, government and civil society. We ask large organisations to co-sponsor £40,000 to £80,000 per year for our two-year programme 2019-2020. Small organisation are asked to sponsor £20,000 to £40,000 per year. Sponsorship is reported to Parliament. All sponsors are asked to commit to a minimum of two years to allow for long-term policymaking.
Figure 25: General Sponsorship Package
Benefits
APPG AI General Sponsorship
• Permanent membership in the APPG AI Advisory Board, one of the four bodies of the Steering Committee responsible for setting the vision and deliverables of the APPG AI programme
• Representation in all (four per year) Advisory Board Meetings, to be held at the Houses of Parliament
• Guaranteed speaking slot in at least one Evidence Meeting
• Representation in all (seven per year) Parliamentary Evidence Meetings, to be held at the Houses of Parliament
• Participation in all (three per year) pillar-specific dinners and/or workshops
• Membership in at least one Task Force
• Participation in all deliverables (consulted for feedback and showcased through interviews, case studies, etc.)
• Press activity and media coverage (as applicable)
• Logo featured at all events and all APPG AI publications (reports, factsheets, leaflets, etc.), and our website
• Featured in the website, listed as Head Partner in Home Page and About Page; Advisory Board Member also featuring on Community Page
• Direct access to high-value networks of Parliamentarians, senior decision-makers in government, industry, and academia
35
6. Timetable
Figure 26: APPG AI 2019 Key Dates
Date Time (PM) What meeting Type Venue
28-Jan-19
4:30 - 5:30 Advisory Board Meeting 1 Board Meeting CR1, Houses of Parliament
28-Jan-19
5:30 – 7:00 Evidence Meeting 1: DATA GOVERNANCE Evidence Meeting CR1, Houses of Parliament
4– Mar- 19
7:00 – 10:00 Dinner: EDUCATION Dinner Attlee, Houses of Parliament
18– Mar- 19
5:30 – 7:00 Evidence Meeting 2: EDUCATION Evidence Meeting CR2, Houses of Parliament
13- May-19
5:30 – 7:00 Evidence Meeting 3: ENTERPRISE ADOPTION OF AI
Evidence Meeting CR1, Houses of Parliament
23- May- 19
6:30 - 10:00 Big Innovation Centre Spring Party Party Millbank Tower
03-Jun-19
4:30 - 5:30 Advisory Board Meeting 2 Board Meeting CR2, Houses of Parliament
03-Jun-19
5:30 – 7:00 Evidence Meeting 4: CITIZEN PARTICIPATION Evidence Meeting CR2, Houses of Parliament
24-Jun-19
5:30 - 7:00 Dinner: ENTERPRISE ADOPTION OF AI Dinner Attlee, Houses of Parliament
8-Jul-19
5:30 - 7:00 Evidence Meeting 5: EDUCATION Evidence Meeting CR4A, Houses of Parliament
14-Oct-19
4:30 - 5:30 Advisory Board Meeting 3 Board Meeting CR2, Houses of Parliament
36
14-Oct-19
5:30 - 7:00 Evidence Meeting 6: ENTERPRISE ADOPTION OF AI
Evidence Meeting CR2, Houses of Parliament
4-Nov-19
5:30 - 7:00 Dinner: CITIZEN PARTICIPATION Dinner Attlee, Houses of Parliament
18-Nov-19
5:30 - 7:00 Evidence Meeting 7: CITIZEN PARTICIPATION Evidence Meeting CR2, Houses of Parliament
09-Dec-19
6:00 – 7:00 Advisory Board Meeting 4 Board Meeting Houses of Parliament
09-Dec-19
7:00 – 9:00 AI Christmas Reception Houses of Parliament
Figure 27: APPG AI 2020 Key Dates
Date Time (PM) What meeting Type Venue
Jan-20 4:30 - 5:30 Advisory Board Meeting 5 Board Meeting Houses of Parliament
Jan-20 5:30 – 7:00 Evidence Meeting 8: DATA GOVERNANCE Evidence Meeting Houses of Parliament
Mar- 20
7:00 – 10:00 Dinner: EDUCATION Dinner Houses of Parliament
Mar- 20
5:30 – 7:00 Evidence Meeting 9: EDUCATION Evidence Meeting Houses of Parliament
Apr-20 5:30 – 7:00 Evidence Meeting 10: ENTERPRISE ADOPTION OF AI
Evidence Meeting Houses of Parliament
May- 20
6:30 - 10:00 Big Innovation Centre Spring Party Party Millbank Tower
Jun-20 4:30 - 5:30 Advisory Board Meeting 6 Board Meeting Houses of Parliament
Jun-20 5:30 – 7:00 Evidence Meeting 11: CITIZEN PARTICIPATION Evidence Meeting Houses of Parliament
37
Jun-20 5:30 - 7:00 Dinner: ENTERPRISE ADOPTION OF AI Dinner Houses of Parliament
Jul-20 5:30 - 7:00 Evidence Meeting 12: EDUCATION Evidence Meeting Houses of Parliament
Oct-20 4:30 - 5:30 Advisory Board Meeting 7 Board Meeting Houses of Parliament
Oct-20 5:30 - 7:00 Evidence Meeting 13: ENTERPRISE ADOPTION OF AI
Evidence Meeting Houses of Parliament
Nov-20
5:30 - 7:00 Dinner: CITIZEN PARTICIPATION Dinner Houses of Parliament
Nov-20
5:30 - 7:00 Evidence Meeting 14: CITIZEN PARTICIPATION Evidence Meeting Houses of Parliament
Dec-20
6:00 – 7:00 Advisory Board Meeting 8 Board Meeting Houses of Parliament
Dec-20
7:00 – 9:00 AI Christmas Reception Houses of Parliament
38
Figure 28: APPG AI 2019 Timeline
Figure 29: APPG AI 2020 Timeline (*dates to be confirmed)
Evidence Meeting 1 (AB1)
Dinner: Education
Evidence Meeting 2
Evidence Meeting 3
BIC Party
Evidence Meeting 4 (AB2)
Dinner: Enterprise Adoption
Evidence Meeting 5
Evidence Meeting 6 (AB3)
Dinner: Citizen Participation
Evidence Meeting 7
Reception (AB4)
1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jul 1 Aug 1 Sep 1 Oct 1 Nov 1 Dec
Evidence Meeting 8 (AB5)
Dinner: Education
Evidence Meeting 9
Evidence Meeting 10
BIC Party
Evidence Meeting 11 (AB6)
Dinner: Enterprise Adoption
Evidence Meeting 12
Evidence Meeting 13 (AB7)
Dinner: Citizen Participation
Evidence Meeting 14
Reception (AB8)
1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jul 1 Aug 1 Sep 1 Oct 1 Nov 1 Dec
39
For enquiries or further information on the APPG AI
All Party Parliamentary Group on Artificial Intelligence (APPG AI) Secretariat
Big Innovation Centre I 8th floor Penthouse, 20 Victoria Street, London SW1H 0NF
T +44 (0)20 3713 4036 | M +44 (0)79 4478 3648
Email: [email protected]
CEO and Co-Creator: Professor Birgitte Andersen
Innovation and Policy Foresight Manager: Niki Iliadis
www.appg-ai.org