REPORTS
A Policy Framework for Responsible Limits on Facial Recognition
Use Case: Law Enforcement Investigations
As part of my work as an AI Project Lead at the World Economic Forum, I led a multistakeholder community that co-designed a governance framework for the responsible use of facial recognition in law enforcement investigations. This framework addresses the need for a set of concrete guidelines to ensure the trustworthy and safe use of this technology. 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: 05 October 2021
Responsible Limits on Facial Recognition Use Case: Flow Management - Part II
As part of my work as an AI Project Lead at the World Economic Forum, I 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
Responsible Limits on Facial Recognition Use Case: Flow Management - Part I
As part of my work as an AI Project Lead at the World Economic Forum, I 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.
Reimagining Regulation for the Age of AI: New Zealand Pilot Project
Published: 29 June 2020
As part of my work as an AI Project Lead at the World Economic Forum, I 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.
Published: 29 March 2018
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.
For a Meaningful Artificial
Intelligence
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?
Published: 29 March 2018
