big data and ethical innovation

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A CODE OF CONDUCT FOR BIG DATA INNOVATION DATA INNOVATION AND ETHICS BY DESIGN

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Page 1: Big Data and Ethical Innovation

A CODE OF CONDUCT FOR BIG DATA INNOVATION DATA INNOVATION AND ETHICS BY DESIGN

Page 2: Big Data and Ethical Innovation

HOW DIFFERENT IS BIG DATA

• Proclivities and Differences:• From Tidy to Messy• From Causality to Correlation• From Individuals to Groups (from PII to DII)• From Individual Agency to Networked Agency• From Regulation to Nudging• From Prediction to Prevention

• A code of conduct for Big Data or Data Science in general

Page 3: Big Data and Ethical Innovation

DATA HANDLING, ANALYSIS, REPRESENTATION• Biases in datasets – non-intentional biases; intentional biases; structural

biases• Data cleaning – raw / technically correct / tidy / aggregate / meta – DATA • Analysis – input-output disconnect

• Machine learning – supervised / unsupervised• Objectiveness of dataset, cleaning process & analysis

• Representation• Values or Graphs: audience dependency, audience ability, interpretation and application• Output-action disconnect (leads further into an action-input disconnect)

Page 4: Big Data and Ethical Innovation

HUMAN(E) BIG DATA

• Technical and ethical standards as prerequisites of professionalism• Basic principles of the practice• Skillful execution• Loyalty to the trade• Representation of the trade

• Basic principles of societal ethical standards• Harm principle • Trust principle• Charity principle

Page 5: Big Data and Ethical Innovation

DATA SCIENCE CODE OF CONDUCT (DSA)

• Rule 2 – Competence• Rule 3 – Scope of Data Science Professional Services Between Client

and Data Scientist• Rule 4 – Communication with Clients• Rule 5 – Confidential Information• Rule 6 – Conflicts of Interest• Rule 7 – Duties to Prospective Client• Rule 8 – Data Science Evidence, Quality of Data and Quality of

Evidence• Rule 9 – Misconduct

Page 6: Big Data and Ethical Innovation

DATA FOR HUMANITY

• Big data as a tool in need of rules (Zicari & Zwitter 2015)• Passive and active duties dependent on the profession

• Do no harm• Ensure peaceful coexistence • Help people in need• Protect the environment• Eliminate discrimination

http://www.bigdata.uni-frankfurt.de/dataforhumanity/

Page 7: Big Data and Ethical Innovation

UNIVERSAL CODE OF PROFESSIONAL CONDUCT

Do no Harm

Harm contingent on:- Definition of Society- Membership in Society- Societal needs are more pressing

Do your best

Contractual Obligation to: Employer and ClientsNatural obligation to: Family or Society and Class of Work

The right reasons

Intentio Recta &Virtues:• Justice• Prudence• Courage• Temperance

Living with your deeds

Ex ante perspective on decisions individually and as a group

Living with societyReciprocal and relative responsibility in relation to role in society(Trust)(Leadership)(Decision-making-power)(Expertise)

Page 8: Big Data and Ethical Innovation

ETHICS BY DESIGNIdentify

Assess

AvoidReduce

Design

MonitorEvaluate

Improve