Deploying High-Quality and Trustworthy AI
Insights from Leading AI Practitioners
Published: 08 December 2022
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.
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
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.
Reimagining Regulation for the Age of AI: New Zealand Pilot Project
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.
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.