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 Outdated prosperity criteria, focusing exclusively on aspects of economic growth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 Outdated criteria focusing exclusively on aspects of economic growth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