Training the Archive

Facebook Instagram Github

Interview #7 with Mar Hicks on »The Politics of Artificial Intelligence and Algorithmic Bias«

»Training the Archive« explores the applicability of Artificial Intelligence to art and the curation of art. For this purpose, a series of interviews with artists, curators, and theorists who have made significant contributions to the research field of image production and artificial intelligence in recent years is being produced. The seventh video of the interview with Mar Hicks is online on YouTube (with subtitles).

»The Politics of Artificial Intelligence and Algorithmic Bias.« This interview with Mar Hicks puts current technological developments in artificial intelligence in perspective with the history of computing. It discusses the gendered power structures behind computing not just as technology but also as cultural technique.

Mar Hicks is an author, historian, and professor at Illinois Institute of Technology in Chicago doing research on the history of computing, labor, technology, and queer science and technology studies. Mar Hicks’ award-winning first book, Programmed Inequality, was published at MIT Press in 2017.

The interview was conducted by Francis Hunger (HMKV) for »Training the Archive.« To see the other videos in the series, click here or go to the YouTube playlist.

»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.

Collaborative Partner:
Digital Partner:
Funded by the Programme:
Funded by:
Github Facebook Instagram