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Deploying High-Quality and Trustworthy AI
Insights from Leading AI Practitioners

Published: 08 December 2022
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AI has huge transformational potential in various industries, but most organisations have found it difficult to scale up adoption. The issue of AI’s Trustworthiness – or lack thereof – has often been seen as a key barrier. Much ground has been covered around the conceptual frameworks around Trustworthy AI, across hundreds of publications and conferences. But how leading adopters embed Trustworthy AI into their model development and deployment processes? What are their attitudes towards emerging regulations? What can others learn from them in their effort to scale trustworthy AI? 
In late 2022, TruEra organized the first edition of the EMEA AI Executive Roundtable, an exclusive virtual event that gathered over 100 leading AI practitioners across Europe and beyond. This white paper captures their key insights.
Cover Proposed Law Enforcement Principles on the Responsible Use of Facial Recognition Tec

A Policy Framework for Responsible Limits on Facial Recognition Use Case: Law Enforcement Investigations (Revised 2022)

This framework addresses the need for a set of concrete guidelines to ensure the trustworthy and safe use of this facial recognition technology in law enforcement investigations. It includes a set of principles that defines in practical terms what constitutes the responsible use of facial recognition in law enforcement investigations and a self-assessment questionnaire detailing the requirements that law enforcement agencies must respect to ensure compliance with the principles for action.

It was co-designed in partnership with the International Criminal Police Organization (INTERPOL), the United Nations Interregional Crime and Justice Research Institute (UNICRI), and the Police of the Netherlands.
Published: 3 November 2022

Responsible Limits on Facial Recognition Use Case: Flow Management - Part II

I co-led a multistakeholder community that co-designed a comprehensive audit framework and certification scheme for industry actors seeking to ensure the responsible use of their facial recognition solutions. In part II (see part I below), you will find a detailed description of the process that applicant organizations must follow to get certified. It also includes Narita International Airport’s answers to the assessment questionnaire which is a great example of a rigorous self‑assessment.
Published: 14 December 2020
Published: 02  march 2020

I co-led a multistakeholder community that co-designed a 4-step governance framework to ensure the responsible use of facial recognition technology. This framework is deployed through a use‑case‑based approach because risks associated with facial recognition systems are highly contextual. Within this white paper, we introduce the flow management use case and present our methodology in detail.

Responsible Limits on Facial Recognition Use Case: Flow Management - Part I


Reimagining Regulation for the Age of AI: New Zealand Pilot Project

Published: 29 June 2020
I co-led a global and multistakeholder community that has co-designed a set of the innovative regulatory framework to enable the trustworthy deployment of AI for government operations. These frameworks are currently being piloted in New Zealand to assess their relevance and review them based on the observed results.

A Framework for Developing a National Artificial Intelligence Strategy

Published: 01  August 2019

Since 2017, various governments have embarked on the path to formulate and/or implement national AI strategies to prepare their economies and societies for the Fourth Industrial Revolution. This could be a daunting task, especially for developing countries. My colleague Punit Shukla and I have built a framework to help governments that grapple with this challenge. This framework is informed by our respective experiences. Indeed, I’m one of the drafters of the French AI National strategy while Punit was involved in the drafting of the Indian national AI strategy. We also reviewed over a dozen AI national strategies and ran interviews with government officials in charge of developing them. This framework is being used by various governments that are part of the Centre for the Fourth Industrial Revolution Network of the World Economic Forum.

The Prime Minister entrusted Cédric Villani - renowned mathematician (Fields Medalist in 2010) and M.P for the Fifth Constituency in the Department of Essonne - with the task of co-designing the French AI National Strategy through a multistakeholder process. I was part of the drafting team in charge of chapter 5 entitled "What Ethics for AI?". After six months of intense work, the strategy was submitted to the President of the Republic in March 2018 and is currently being implemented.

France AI Strategy (French)

Published: 29 March 2018
During the drafting of the French AI National Strategy, we were assigned the task to write a booklet explaining what  AI is all about for non-technical audiences. Within this document, you will find a clear definition of key concepts  (e.g. Symbolic AI, machine learning, deep learning) and how they relate to one another as well as concrete examples of their applications. That’s a good place to start if you’re new to the field.

What is Artificial Intelligence? (French)

Published: 29 March 2018
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