Summary of From Stem to Stern: Contestability Along Ai Value Chains, by Agathe Balayn et al.
From Stem to Stern: Contestability Along AI Value Chains
by Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju
First submitted to arxiv on: 2 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This workshop aims to establish a community of interdisciplinary Computer-Supported Cooperative Work (CSCW) researchers focused on contestable Artificial Intelligence (AI). The outcome will be a research roadmap outlining pressing opportunities and challenges for AI value chains, which will inform future work in this field. The workshop will explore the contestability of AI systems along various sites within these value chains, featuring concrete examples of successful and unsuccessful implementations to identify requirements, obstacles, and opportunities for designing and deploying contestable AI. By bringing together researchers, practitioners, and stakeholders, the workshop aims to facilitate interdisciplinary dialogue and foster the design and deployment of contestable AI. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a world where AI is fair and transparent. This workshop wants to make that happen by gathering experts from different fields to talk about making AI more contestable. Contestability means being able to question or challenge how AI systems work. The workshop will create a roadmap to guide future research on this topic, showing what needs to be done to make AI more contestable in different areas. They’ll share examples of when AI was and wasn’t contestable, and have discussions to help figure out how to make it better. |