We conduct research particularly on the ethical and social implications of automated decision-making systems. We bridge the knowledge gap between academics, law professionals, policymakers, and engineers through interdisciplinary workshops, pedagogical initiatives, and guidance for organizations who seek to use artificial intelligence responsibly.
Powerful advances in machine learning over the past decade have brought with them explosive growth in the use of automated decision-making tools. These tools have a direct impact on hundreds of millions of lives. Yet they are often opaque, poorly understood, and sometimes impossible to hold to account. As these decision-making systems become increasingly ubiquitous, and our reliance upon them increasingly widespread, it is crucial to develop an understanding of how fairness, justice, and value considerations apply to the development and deployment of these tools.
At JFI, we believe this must be a collaborative enterprise, engaging the technical knowledge and lived experience of a diverse range of academic experts, government policymakers, community advocates, and the general public. Our work focuses on leveraging our technical and subject-matter expertise to enable this broad spectrum of voices to meaningfully participate in informed debate on these unprecedented ethical, social, and political questions. JFI is advancing this development in three areas: governance, research, and education.