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Responsible AI: A Global Policy Framework

Responsible AI:
The EU AIA: Green Paper Policy Analysis 

It would not be an understatement to say that the world has changed beyond recognition since the pub­lication of the first edition of Responsible AI. We have been placed in the grip of a global pandemic, and in a fast-moving world, Artificial Intelligence continues to move at light speed. Having published its Responsible AI Global Policy Framework in 2020, and the 2021 Update Edition, ITechLaw is proud to have launched this Green Paper on the proposed draft EU Artificial Intelligence Act (the AIA) at its 2022 World Technology Law Conference in San Francisco. 

The Green Paper is the collective effort of 34 lawyers in 32 law firms across 14 international jurisdictions and is co-edited by John Buyers of Osborne Clarke, UK; Patricia Shaw of Beyond Reach Consulting Limited, UK; and Susan Barty of CMS, UK. The Green Paper is a formal commentary and benchmarking of the EU's AIA against ITechLaw's own Responsible AI Principles. The Green Paper is available here to download, or to buy in hard copy. ITechLaw's Responsible AI Framework and the 2021 Update Edition are also available below.

Download Responsible AI:
The EU AIA Green Paper


A multi-disciplinary group of 54 technology law experts, researchers and industry representatives from 16 countries developed this detailed actionable framework and are seeking public comments to create an updated version. The book covers these principles in detail:


  • 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; and
  • Encouraging responsible AI by design.