ARTOUNTABILITY: ACCOUNTABILITY, AI, AND ART
summary
Overview of concrete outputs and methods: a 242-article literature review defines algorithmic accountability as multi-actor, life-cycle explanation and justification; a co-designed prototype called BIAS (Basic Inquiry into Algorithmic Systems) is mid-prototype, extracting civil-servant design criteria and mapping questions for before / during / after deployment; physical facilitation tools include an A0 Data Ethics Decision Aid poster for group reflection; exhibited works (AI Oracle, 2018/2019) stage simulated scans to surface hiring bias; artist residencies and projects (Normalizing Machine, Anatomy of AI, Fairphone, Datamart) materially expose training data, infrastructure and energy trade-offs (e.g., Bitcoin ~22 Mt CO2) rather than restate themes.
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chapters (15)
- 0:00Start
- 2:19Peter Booth
- 3:08Fiona Mcdermott
- 4:41What Is Arts Formation Transformation
- 9:41Transformative Role of the Arts
- 10:03Art Is a Therapy
- 16:41Facebook Artist Residence
- 23:07Marange Villarenca
- 25:30Terminology
- 26:09What Is Algorithmic Accountability
- 26:23Algorithmic Accountability
- 27:20Participatory Action Research
- 35:59Art and Accountability in the Context of of Ai
- 38:17Anatomy of an Ai System
- 52:38Ai Oracle
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