Final report. FAccT CRAFT: Civic empowerment in the development and deployment of AI Systems. Critiquing and Rethinking Accountability, Fairness and Transparency Workshop at ACM’s Fairness, Accountability and Transparency in Machine Learning.

Type de ressource
Auteurs/contributeurs
Titre
Final report. FAccT CRAFT: Civic empowerment in the development and deployment of AI Systems. Critiquing and Rethinking Accountability, Fairness and Transparency Workshop at ACM’s Fairness, Accountability and Transparency in Machine Learning.
Résumé
We sought to co-develop an assessment questionnaire that will allow AI developers, government, and tech-enabled civil society organizations (CSOs) to gauge the level of civic empowerment in their AI system(s) (see Section 4). We categorized the contributions from attendees in terms of existential, epistemic, process-based and a few ready-to-go assessment questions. Our hope was that this set of questions could eventually augment AI certification, audit, and risk assessment tools. At this stage, instead of generating a simple list of best practices, our assessment questionnaire serves to “open Pandora’s box,” explicating the diversity of positions, confronting the challenge in synthesis and implementation, and moving towards meaningful and not merely performative empowerment.
Lieu
Montréal (Québec, Canada)
Date
June 30, 2021
Pages
40
Langue
en
Extra
Ajouté par Geneviève
Référence
Siebel, R. et Brandusesc, A. (2021). Final report.  FAccT CRAFT: Civic empowerment in the development and deployment of AI Systems. Critiquing and Rethinking Accountability, Fairness and Transparency Workshop at ACM’s Fairness, Accountability and Transparency in Machine Learning. https://aifortherestofus.ca/wp-content/uploads/2021/10/Civic-Empowerment-Workshop-Report-FAccT_CRAFT.pdf