1 option
(un)real data: Could We Stop Reproducing a Deepfake Past?.
- Format:
- Sound recording
- Author/Creator:
- Berger, Neja, Author.
- Series:
- Tactics&Practice [podcast] ; 15
- Language:
- English
- Subjects (All):
- Algorithms.
- Data mining.
- Genre:
- Interviews
- Podcasts
- Interviews.
- Podcasts.
- Physical Description:
- 1 online resource.
- Place of Publication:
- [Place of publication not identified], Aksioma Institute for Contemporary Art, 2024.
- Summary:
- "Predictive models based on big data are founded on the idea that knowing the past enables us to predict the future, but what kind of future are we constructing when the models are based on a deepfake version of the past? Correlation has overtaken causation, while homophily shadows differences across these models that are not only applied in social media platforms' algorithms, but also in policing predictives or risk assessment systems. We discuss how these practices reproduce bias and generate self-fulfilling prophecies with Wendy Chun, professor of New Media, Director of the Digital Democracies Institute and author of numerous books. Is it possible to exit the default world of endless reproducibility and conceive of a different future from what has been left out in the past?"-- provided by distributor.
- Notes:
- Archived and cataloged by Library Stack
- Standard Copyright.
- Description from resource landing page (Library Stack, viewed on 09/29/2025).
- Access Restriction:
- Unrestricted online access
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