Peter Addo

Head of DataLab and Senior Data Scientist - Agence Française de Développement (AFD)

Working groupExpert Group on AI Risk & Accountability

Working groupExpert Group on AI Incidents

Stakeholder TypeGovernment

ONE AI Observer

AI Wonk contributor

Peter Martey Addo is an experienced data scientist, and has an extensive background in working with data, and emerging technologies in the developing contexts. Currently, he is the lead on Artificial Intelligence, and serves as the head of DataLab at the French Development Agency (AFD), Paris, France. He formerly worked at the French National Center for Scientific research (CNRS) as a researcher, and at the French National railway company (SNCF) as the Lead Data Scientist. He holds a double PhD in Applied Mathematics and Economics from the University of Paris 1 – Pantheon Sorbonne and Ca’ Foscari University of Venice respectively. He has published articles, and peer reviewed international scientific journals. Focused areas of expertise are machine learning, systemic risks, information retrieval, econometrics, and nonlinear system dynamics. He is keen on ways we can leverage data and emerging technologies to improve growth, and people’s lives.

Website: https://pmaddo.com/

Peter Addo's publications

Intergovernmental

Deliberate, inclusive AI policies to empower women in Africa

For International Women’s Day, we share highlights from a discussion on how AI can empower women in Africa.

March 8, 2024 — 8 min read

Peter Addo's videos

The OECD Al Systems Classification Framework

February 6, 2021–

90 mins

The OECD’s Network of Experts on AI developed a user-friendly framework to classify AI systems. It provides a structure for assessing and classifying AI systems according to their impact on public policy following the OECD AI Principles. This session discusses the four dimensions of the draft OECD AI Systems Classification Framework, illustrates the usefulness of the framework using concrete AI systems as examples, and seeks feedback and comments to support finalisation of the framework. Aclassification framework to understand the labour market impact will also be introduced.

Peter Addo's documents

The OECD AI Systems Classification Framework: progress, challenges and way forward

February 12, 2021

Disclaimer: The opinions expressed and arguments employed herein are solely those of the authors and do not necessarily reflect the official views of the OECD or its member countries. The Organisation cannot be held responsible for possible violations of copyright resulting from the posting of any written material on this website/blog.