Algorithmic Fairness & Opacity Lecture Series

A hands-on workshop focusing on restorative justice.

How infrastructures, assemblages, and ecosystems spread and contribute to harm and how justice can work in complex, interconnected systems.

How conceptions of justice, especially restorative justice, can drive the structures and practices of content governance.

The problems, potentials, and pitfalls of emphasizing justice in content governance systems, with Anna Lauren Hoffman and Hadar Dancig-Rosenberg.

Faculty, administrators, students, and activists explore the roles of surveillance and policing in the classroom, on campus, and in the community.

Technoculture is the American mythos and ideology. Where does Blackness manifest in Western technoculture?

Dr. David Robinson explores the algorithms we use to define ourselves, and how they can work as enchantments — stories that make themselves come true.

Dr. Daniel Greene explores why technology solutions aren’t solving complex social problems such as STEM education and the digital divide.

Dr. Latanya Sweeney pioneered the field of data privacy and launched the study of algorithmic fairness.

Tawana Petty responds to the racial bias baked into our data, digital, and technological systems

Understanding the recent resistance to facial recognition technologies, to put this moment in conversation and context.

Ethan Zuckerman explores a model for rethinking and rebuilding social media and digital institutions as public goods.

A virtual conference exploring organized technology refusal from historical and contemporary vantage points

Madeleine Clare Elish uncovers the hidden labor behind automated aviation, driverless cars, small scale agriculture, grocery retail, and emergency healthcare.

How practitioners think about design for algorithmic systems and products.

Key insights for defending against strategic information operations.

The promises and challenges of using AI to help prevent violence based on social media content and engagement.

Dr. Ruha Benjamin explores a range of discriminatory designs that encode inequity.

As AI and ML shape technology, how do we ensure that products are designed by and for people?