videoJune 12 2019

Not The Only One — Practical Adventures in Creating an AI Memoir

Stephanie Dinkins

Databite No. 122

How does an algorithm know what it knows? Data & Society Fellow Stephanie Dinkins explores what it means to craft AI developed from small and community-focused data.

Dinkins’ project, “Not The Only One,” models different ways of creating AI. Specifically, she uses AI as a method to express blackness in a way that is familiar to her, as well as how to utilize it as a tool to create an archive of her family.

Data & Society 2017-2018 Fellow Taeyoon Choi moderates the discussion.

Data & Society’s Fellows Talks is a three-part Databite series showcasing our 2018-2019 fellows cohort. Each talk features 2-3 fellows speaking about their work, wide-ranging interdisciplinary connections, and a few of the provocative questions that have emerged this year.

Stephanie Dinkins is an artist interested in creating platforms for ongoing dialogue about artificial intelligence as it intersects race, gender, aging, and our future histories. She is particularly driven to work with communities of color to develop deep-rooted AI literacy and co-create more culturally inclusive equitable artificial intelligence. Dinkins holds an MFA from the Maryland Institute College of Art; is a 2018 Truth Resident at EYEBEAM; and a 2018 Sundance New Frontiers Story Lab Fellow. Her work has been cited in national media outlets and exhibited internationally at a broad spectrum of community, private, and institutional venues. Professor Dinkins teaches new media art and emerging technologies at Stony Brook University.

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Data & Society’s “Databites” speaker series presents timely conversations about the purpose and power of technology, bridging our interdisciplinary research with broader public conversations about the societal implications of data and automation.