applied intelligence responsible ai€¦ · but has the capacity to help rethink businesses and...

RESPONSIBLE AIAPPLIED INTELLIGENCE

The Responsible AI team at Accenture is dedicated to creating human-centric Artificial Intelligence. Our goal is to understand and address the social, regulatory and economic impact of this technology from development to deployment and beyond. The team also serves as the starting point for governance internally at Accenture.

The Responsible Artificial Intelligence Team led by Dr. Rumman Chowdhury, data scientist and social scientist, and Deborah Santiago, senior leadership in Accenture Legal.

Copyright © 2018 Accenture. All rights reserved. 2

WHILE UNLOCKING VALUE, AI INTRODUCES NEW RISKS AND CHALLENGES


OPPORTUNITY TO UNLOCK TRAPPED VALUE

AI affords a tremendous opportunity not only

to increase efficiencies and reduce costs,

but has the capacity to help rethink

businesses and solve critical problems.

COMPLIANCE, GOVERNANCE& SECURITY CHALLENGEDeploying AI without anchoring to robust

compliance and core values may expose a

business to significant risks including

employment/HR, data privacy, health and

safety issues. The potential fines and

sanctions can be business threatening.

UNINTENDED CONSEQUENCESUnexpected, but harmful, outcomes have

led to consumer backlash and legal

problems. Launching AI without an

understanding of its social impact can be

risky to your company’s reputation and

brand.

These issues set the importance for Responsible AI to account for key elements: Transparency, Trustworthiness, Agency, Fairness, Accountability

COMMON ETHICAL ISSUES RAISED BY AI


Job Apocalypse AI is so ruthlessly efficient that it will lead to massive job loss.

The Singularity We will create something that is more intelligent than humans and we will lose control.

Lack of Transparency True (scary) AI doesn’t explain itself.

Inclusion & Diversity The power of AI is in the hands of the few and with the traditional power brokers.

PrivacyAI will erode our notions of data privacy and do things with data that we didn’t consent to.

Ethical Issues

Artificial StupidityThe problem is that narrow AI “plays excellent chess in a burning house”

Responsible AI is the practice of using AI with good intention to empower

employees and businesses, and fairly impact customers and society – allowing

companies to engender trust and scale AI with confidence.

WHAT DO WE MEAN BY RESPONSIBLE AI?


BASED ON FINDINGS FROM A GLOBAL SURVEYBY ACCENTURE APPLIED INTELLIGENCE, SAS, AND INTEL WITH FORBES INSIGHTS

AI MOMENTUM, MATURITY & MODELS FOR SUCCESS

SINGAPORE REPORTJANUARY 2019

WHOM WE SURVEYED KEY INDUSTRY AREAS

ABOUT THIS SURVEY –SINGAPORE*

Financial Services GovernmentManufacturing

20% 20% 20%

16% 12% 8%

Insurance Retail Communications Consumer

Goods

4%

Copyright © 2019 Accenture All rights reserved. 7

Chief Information Officer (CIO) Chief Technology Officer (CTO)

Director, Data and Analytics Director, Business Intelligence

48%

4%

40%

8%

*Part of a total of 330 respondents across APAC, US & EMEA solicited by Forbes Insights

completed this survey in late 2018. APAC refers to Australia, China, India and Japan

ARE YOU OR YOUR TEAM DEVELOPING OR DEPLOYING ARTIFICIAL INTELLIGENCE-BASED TECHNOLOGY?

84% of Singapore leaders say that they have either

deployed AI or AI is under development in their organisations,

as compared to APAC (74%), UK (75%) and US (74%) in

overall AI development.

SINGAPORE IS ON PAR WITH THE OTHER REGIONS IN AI DEPLOYMENT

36.00% 32.61% 35.00% 36.96%

48.00%41.30% 40.00% 36.96%

8.00%16.30%

20.00%10.87%

8.00% 9.78% 5.00%13.04%

2.17%

Singapore APAC United Kingdom United States

Yes, it has been deployed

It is under development

We are considering /

planning deployment

Not at this time

Unsure


WHAT DO YOU SEE AS THE PRIMARY CHALLENGES TO SUCCESSFULLY IMPLEMENTING AND APPLYING AI IN YOUR ORGANIZATION (TOP 5)?

…BUT FACE THE FOLLOWING TOP 5 CHALLENGES …

32% 32%28% 28%

24%

Solutions are too costly ordisruptive

Lack of model interpretabilityand transparency

Use cases are weak orirrelevant

Lack of oversight Resistance from employeesdue to concerns about job

security


Singapore execs demonstrate a much higher confidence

level of 96% in AI-based decisions or outputs, as compared

with their counterparts – 66% in APAC, 50% in the UK, and

61% in the US.

WE HAVE CONFIDENCE IN AI-BASED DECISIONS OR OUTPUTS

EVEN THOUGH THERE IS A HIGH LEVEL OF CONFIDENCE IN AI-BASED DECISIONS / OUTPUTS…

96%

66%

50%

61%

Strongly/Completely agree


United States

United Kingdom

APAC

Singapore

92%THINK NOT ENOUGH IS UNDERSTOOD ABOUT THE POTENTIAL UNINTENDED CONSEQUENCES OF AI INITIATIVES

92%

54%

30%

39%

Strongly / Completely Agree


United States

United Kingdom

APAC

Singapore

Singapore leaders strongly / completely agree that they don’t have enough transparency into AI decision-making processes

This could pose a block to exploring more advanced AI technique like deep learning which is even harder to explain and

interpret

… AND THERE IS NOT ENOUGH TRANSPARENCY IN AI-DECISION MAKING PROCESSES


100%

44.57%40%

45.65%


United States

United Kingdom

APAC

Singapore

WE ARE CONCERNED ABOUT THE IMPACT OF AI-DRIVEN DECISIONS ON

CUSTOMER ENGAGEMENT.

For example, actions will not show enough empathy or our customers will trust us less

87% OF THEM ARE CONCERNED ABOUT THE IMPACT OF AI-DRIVEN DECISIONS ON CUSTOMER ENGAGEMENT

87%

66%68%

46%

Strongly / Completely Agree


United States

United Kingdom

APAC

Singapore

OUR DATA SCIENCE/AI TALENT IS FULLY EQUIPPED TO UNDERSTAND AND MANAGE THE ETHICAL IMPLICATIONS OF USING AI

Singapore execs are much more confident (88%) than their

counterparts in the rest of APAC (50%), UK (35%) and the US

(37%) that their data science / AI talent is fully equipped to

understand and manage the ethical implications of using AI.

ALTHOUGH 88% OF SINGAPORE LEADERS SAY THEIR WORKFORCE IS ETHICALLY EQUIPPED…


United States

United Kingdom

APAC

Singapore

88%

50%

35% 37%


IF AN AI SYSTEM PRODUCES QUESTIONABLE OR UNSATISFACTORY RESULTS, DOES YOUR ORGANIZATION HAVE A PROCESS IN PLACE FOR AUGMENTING OR OVERRIDING IT?

Only 30% of Singapore leaders agree that there is a

process in place for augmenting or overriding an output from

an AI system that produces questionable / unsatisfactory

results

… ONLY FEW AGREE THERE ARE PROCESSES IN PLACE WHEN AI OUTPUTS ARE QUESTIONABLE

10%

25%

30%

35%

Unsure

No

Yes

Under consideration


STRONGER OVERSIGHT

Need for capabilities to

provide oversight to AI

systems and tools –in

augmenting or overriding an

output from an AI system

that produces questionable /

unsatisfactory results

INTERPRETABILITY & TRANSPARENCY

Need for better

approaches/tools & process

to enhance ability to interpret

& explain AI, creating

transparency to better

manage customer

engagements

KEY TAKEAWAYS


AI EDUCATION

Need for continuous AI

education for leaders and

workforce to understand the

implications of use of AI, and

to overcome resistance and

to prepare workforce for the

future

LINKAGE TO BENEFITS REALIZATION

Need for better clarity on AI

use cases, and a stronger

link to benefits realization

and business outcomes

Joon Seong Lee, Applied Intelligence ASEAN Lead

[email protected]

Sunita Kannan, Applied Intelligence Advisory Lead

[email protected]

Dr. Rumman Chowdhury, Global Responsible AI [email protected]

CONTACT US


mailto:[email protected]



applied intelligence responsible ai€¦ · but has the capacity to help rethink businesses and...

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