AI: Intelligent Machines, Smart Policies - OECD · AI: Intelligent Machines, Smart Policies October...

AI: Intelligent Machines, Smart Policies October 26th and 27th, OECD Paris

Session on Transparency, Oversight & Ethics

Dr Ing Konstantinos Karachalios

Managing Director IEEE Standards Association

IEEE’s AI Landscape

IEEE’s Technology Ethics Landscape

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Code of

Ethics

Professional Ethics

Technology Ethics

Professional Guidelines Help define intended behavior by professionals in the field

• IEEE Code of Ethics • Software Engineering CoE • Recent AI Now and White House Reports

Behavioral Impacts Impact of (and response to) professional behaviors in

the context of the guidelines • Research Ethics and Plagiarism • Business Ethics • Safety/labor/equality considerations and policy • Ethics Education

Technology Impacts Ethical/societal impacts of the technologies

themselves • IEEE Global Initiative for Ethical Considerations in

Artificial Intelligence and Autonomous Systems • Ad Hoc on Design for Ethics • Events/publications

IEEE Ad Hoc Committee on Ethics

Programs

IEEE P7000™

Standards Series

Currently 11 Working Groups focused on:

• Ethical System Design

• Transparency in Autonomous Systems

• Personal Data for Orgs Beyond Compliance

• Addressing Algorithmic Bias

• Governance of Children’s Data

• Governance of Employee Data

• Personal AI Agent

• Robotic / AI and Ethics Ontology

• Robotic / Systems Nudging

• Developing a Kill-Switch for AI

• Human well-being and AI

Bottom Up, Consensual Solutions Frameworks

Top Three Challenges

1. Rapid evolution of intelligent technical systems and the capacity of political processes to catch up with the issues

= Threat to Democracy

2. Continued obfuscation of third-party data control models

= Reduces spaces for people’s self-determination and autonomy

3. Outdated prosperity criteria, focusing exclusively on aspects of economic growth

= Fails to address improvement of social conditions and environmental sustainability

= Risk of concentrating more wealth in the hands of very few

Top Three Opportunities

1. Rapid evolution of intelligent technical systems and the capacity of political processes to catch up with the issues

= Start from the Bottom (techno-scientific communities) and from the Top (governments, regulators, legislators)

2. Continued obfuscation of third-party data control models

= Implement existing and develop new technologies to reclaim agency over our data in the algorithmic age

3. Outdated criteria focusing exclusively on aspects of economic growth

= Prioritize Triple-Bottom Line Economics/moving beyond GDP

What Should Policy Makers do?

1. Rapid evolution of intelligent technical systems and the capacity of political processes to catch up with the issues

= Understand social and ethical implications of technology and support bottom up frameworks aiming at addressing issues at their root

2. Continued obfuscation of third-party data control models

=Support and Enforce the GDPR and similar global legislations

3. Outdated criteria focusing exclusively on aspects of economic growth

= Support national and multilateral efforts to prioritize triple-bottom line indicators of prosperity

IEEE Opportunities

• Transparency in Autonomous

Systems

• Personal Data for Orgs

Beyond Compliance

• Addressing Algorithmic Bias

• Governance of Children’s

Data

• Governance of Employee

Data

• Personal AI Agent

Bottom Up Consensus Frameworks

Beyond GDP Tech Policy

Consensus Driven Personal Data Standards

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Thank you! Konstantinos Karachalios constantin@ieee.org