Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective

How to protect people from algorithmic harms? A promising solution, although in its infancy, is algorithmic impact assessment (AIA). AIAs are iterative processes used to investigate the possible short and long terms societal impacts of AI systems before their use, but with ongoing monitoring and periodic revisiting even after their implementation. When conducted in a participatory and transparent fashion, they could create bridges across the legal, social and computer science domains, promoting the accountability of the entity performing them as well as public scrutiny. They could enable to re-attach the societal and regulatory context to the mathematical definition of fairness, thus expanding the formalistic approach thereto. Whilst the regulatory framework in the European Union currently lacks the obligation to perform such AIA, some other provisions are expected to play a role in AI development, leading the way towards more widespread adoption of AIA. These include the Data Protection Impact Assessment (DPIA) under the General Data Protection Regulation (GDPR), the risk assessment process under the Digital Services Act (DSA) and the Conformity Assessment (CA) foreseen under the AI Regulation proposal.