From Stem to Stern: Contestability Along AI Value Chains

TL;DR

This paper discusses the importance of contestability in AI systems along value chains, aiming to develop a research roadmap through interdisciplinary dialogue and case studies to guide future AI design and deployment.

Contribution

It introduces a workshop-based approach to synthesize challenges and opportunities for contestable AI, fostering community and interdisciplinary collaboration for future research.

Findings

Identification of key challenges in contestability along AI value chains

Examples of successful and unsuccessful contestable AI systems

A proposed research roadmap for future work in contestable AI

Abstract

This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize the most pressing opportunities and challenges for contestability along AI value chains in the form of a research roadmap. This roadmap will help shape and inspire imminent work in this field. Considering the length and depth of AI value chains, it will especially spur discussions around the contestability of AI systems along various sites of such chains. The workshop will serve as a platform for dialogue and demonstrations of concrete, successful, and unsuccessful examples of AI systems that (could or should) have been contested, to identify requirements, obstacles, and opportunities for designing and deploying contestable AI in various contexts. This will be held primarily as an in-person workshop, with some hybrid accommodation. The day will consist of individual presentations and group activities to stimulate ideation and inspire broad reflections on the field of contestable AI. Our aim is to facilitate interdisciplinary dialogue by bringing together researchers, practitioners, and stakeholders to foster the design and deployment of contestable AI.