Research on machine learning (ML) algorithms, as well as on their ethical impacts, has focused largely on mathematical or computational questions. However, for algorithmic systems to be useful, reliable, and safe for human users, ML research must also wrangle with how users’ psychology and social context affect how they…
Microsoft is home to the world’s largest developer communities and ecosystems with Azure, GitHub, and Visual Studio. Thus, having sustainable and inclusive communities is of strategic importance as it has the potential to transform society by enabling more people to develop software. Developers in these communities and others …
While scholars often examine the ways in which technologies fail and marginalize communities, this event focuses on an equally critical goal of adopting an abolitionist mindset – one that simultaneously asks how can we build new and life-affirming systems, while tearing down others that inflict harm. This panel brings together…
In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under increased scrutiny in recent years. In this talk the role datasets play in model development and in the broader social organization of the…
