output
20142024
most citedBootstrap your own latent: A new approach to self-supervised Learning

3.4k citations

Showing cs.CYShow all

5 papers · 1 filter

cs.CY202457 cited

The illusion of artificial inclusion

William Agnew, A. Stevie Bergman, Jennifer Chien +5

Human participants play a central role in the development of modern artificial intelligence (AI) technology, in psychological science, and in user research. Recent advances in gene…

cs.CY2023121 cited

Machine Culture

Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12

The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notio…

cs.CY2022317 cited

Power to the People? Opportunities and Challenges for Participatory AI

Abeba Birhane, William Isaac, Vinodkumar Prabhakaran +4

Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining momentum: the increased attention comes partly with the view that participation opens…

cs.CY2020827 cited

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Shakir Mohamed, Marie-Therese Png, William Isaac

This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artific…

cs.CY202029 cited

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics

Donald Martin, Vinodkumar Prabhakaran, Jill Kuhlberg +2

Recent research on algorithmic fairness has highlighted that the problem formulation phase of ML system development can be a key source of bias that has significant downstream impa…