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Near neighbours: Artificial intelligence and anti-racism as an activating pursuit in archival moving image practice

Egbe, Amanda

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Authors

Amanda Egbe



Abstract

Artificial intelligence (AI) is increasingly being utilized in various fields including the film industry and archives. The use of AI as a film analysis tool has the potential to develop the way we understand and critique cinema. AI systems can be trained to examine large amounts of film data, including scripts and visual elements. However, the critique of AI concerning racial bias, alongside the problem of the representation and or underrepresentation of race, within film archives presents a challenge. If AI algorithms are not to perpetuate existing biases and stereotypes, moving image archives could play a role in providing the necessary context for understanding racial representation. This paper considers how the author’s interventions with moving image archives and image collections at the intersection of artificial intelligence, intersectionality and delayed cinema can be an anti-racist strategy within archival and remix practice.

Citation

Egbe, A. (2023, June). Near neighbours: Artificial intelligence and anti-racism as an activating pursuit in archival moving image practice. Paper presented at Eye International Conference 2023 Activating the Archive Audiovisual Collections and Civic Engagement, Global Collaboration and Societal Change, Eye Filmmuseum, Amsterdam

Presentation Conference Type Conference Paper (unpublished)
Conference Name Eye International Conference 2023 Activating the Archive Audiovisual Collections and Civic Engagement, Global Collaboration and Societal Change
Conference Location Eye Filmmuseum, Amsterdam
Start Date Jun 4, 2023
End Date Jun 7, 2023
Deposit Date Jun 21, 2023
Publicly Available Date Jun 22, 2023
Keywords Artificial intelligence; anti-racism; archival moving image practice
Public URL https://uwe-repository.worktribe.com/output/10881001

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