A Framework for Ethical and Trustworthy AI
A practical account of trustworthy AI and my contribution to the European Commission’s expert group. Includes the original April 2021 update.
7 min read
A reading guide
Putting trustworthy AI into practice
Trustworthy AI connects technical choices with responsibility, oversight and the conditions in which a system is used. This reading guide brings together the essays and documented public contributions behind that work.
Start with intent and responsibility
The essays move from making an AI system’s intended outcome explicit to examining autonomy, responsibility and governance. They offer a way to ask who defines success, how a system is evaluated and what happens when its behaviour departs from its purpose.
The European expert-group contribution
Jean-François Gagné served on the European Commission’s High-Level Expert Group on AI from 2018 to 2020 and was one of the nine co-rapporteurs for the 2019 Ethics Guidelines for Trustworthy AI. The policy pages distinguish that work from other contributions as a member of the group and provide the supporting documents.
Keep the policy context visible
These texts span several stages of AI policy development. An essay’s publication date and any later editorial clarification matter when reading references to proposed legislation. Contributions to an expert group are not the same as authorship of legislation.
Selected essays and research
Follow the ideas into the work
A Framework for AI Governance
A framework for connecting human intent, system autonomy, responsibility and governance.
12 min read
Why Do We Need an Ethical Framework for AI?
As AI becomes part of everyday decisions, ethics has to become part of how we design and operate it.
5 min read
4 Steps to Good Narrow AI
Four practical steps for making intent explicit and evaluating whether an AI system achieves it.
9 min read