Skip to content

Published by the International Technology Law Association (ITechLaw), de la cruz beranek Attorneys at Law worked for a year with a multi-disciplinary team of 53 other technology law experts (link of authors) , researchers and industry representatives from 16 countries to develop a detailed, actionable framework of eight core discussion principles related to responsible AI.


Nicole Beranek Zanon researched and proposed solutions focused on Transparency and Explainability”, “Safety and Reliability” and “Privacy” which demonstrates, that data protection and its principle are hard to be compliant with in the age of AI.

The other 4 discussion principles explore and offer practical application around Ethical Purpose and Societal Benefit, Accountability, Fairness and Non-discrimination, Open Data and Fair Competition and AI Rights.

Join the conversation

Nicole Beranek Zanon joins ITechLaw and the authors in inviting all stakeholders — industry representatives, policy-makers, researchers, and general public – to read the publication and its accompanying draft policy framework and then submit feedback at by September 15. Comments also may be emailed to

“The accelerating rate of progress in AI research, development and deployment is both exhilarating and alarming,” says ITechLaw President Charles Morgan. “AI has enormous potential for positive societal impact but also for unintended and grave consequences. We owe our team of authors a debt of gratitude for recognizing not only that this technology places a great weight of ethical responsibility on all those who are engaged in the development and deployment of such AI systems, but also doing something about it. As lead author, I know Nicole Beranek Zanon and the other contributing experts hope that this publication will make a valuable contribution to the ongoing efforts to promote responsible AI.”

Among the actions suggested are

  • 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;
  • denying “legal personality” to AI systems;
  • 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.

Working materials

The discussion principles and the framework can be separately downloaded for free from the website.

A hard copy of the 304-page book, which explores challenges and proposes solutions for responsible AI, can be ordered for USD$45 by ITechLaw members and for USD$79 by non-members.

An e-version of the book is also available for USD$9.99, downloadable from the website. All ITechLaw members receive a free electronic copy, and all attendees of the ITechLaw Boston, Dublin, Bangalore and Singapore conferences through April 2020 will also receive a complimentary hard copy.

social media

Follow the conversation at #ResponsibleAI_ITechLaw (Twitter), @ITechLaw_Association (Facebook), International Technology Law Association (LinkedIn), and Comments may also be emailed to

Media can obtain a free copy of Responsible AI: A Global Policy Framework via the ITechLaw media contacts or at A media kit with cover image and other content is available on the site.