Responsible AI: A Global Policy Framework 2019 First Edition
2019 First Edition
ITechLaw’s original publication on responsible AI was published in 2019. Edited by Charles Morgan of McCarthy Tétrault, Canada, with input from 54 technology legal experts, researchers and industry representatives from 16 countries, it established a detailed global policy framework for the responsible development, deployment and use of artificial intelligence, exploring 8 core principles including: ethical purpose and societal benefit, accountability, transparency and explainability, fairness and non-discrimination, safety and reliability, open data and fair competition, privacy, and intellectual property.
About The Authors
A multi-disciplinary group of 54 technology law experts, researchers and industry representatives from 16 countries developed this detailed actionable framework. In 2021, an updated version of the Global Policy Framework was published with input from 37 technology lawyers from over 15 countries.
SUGGESTED ACTIONS
- Grounding the responsible AI framework in the human-centric principle of “accountability” that makes organizations developing, deploying, or using AI systems accountable for harm caused by AI;
- Promoting a context-sensitive framework for transparency and explainability;
- Elaborating the notion of elegant failure, as well as revisiting the “tragic choices” dilemma;
- Supporting open-data practices that help encourage AI innovation while ensuring reasonable and fair privacy, consent, and competitiveness;
- Encouraging responsible AI by design.
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