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Title:A toolkit for algorithmic equity and community empowerment
Author(s):Katell, Michael; Young, Meg; Herman, Bernease; Dailey, Dharma; Binz, Corinne; Guetler, Vivian; Raz, Daniella; Tam, Aaron; Krafft, P.M.
Subject(s):Participatory design
Surveillance
Regulation
Algorithmic equity
Fairness
Accountability
Transparency
Abstract:A wave of recent scholarship documenting the discriminatory harms of algorithmic systems has spurred widespread interest in algorithmic accountability and regulation. Yet effective accountability and regulation is stymied by a persistent lack of resources supporting public understanding of algorithms and artificial intelligence. We present a toolkit for algorithmic legibility developed using participatory design methodologies. Through interactions with a US-based civil rights organization and their coalition of community organizations, we iden- tify a need for (i) 'street level' heuristics that aid stakeholders in distinguishing between types of analytic and information systems in lay language, and (ii) risk assessment tools for such systems that begin by making algorithms more legible. The present work delivers a toolkit to achieve these aims.
Issue Date:2020-03-23
Publisher:iSchools
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/106571
Rights Information:Copyright 2020 Michael Katell, Meg Young, Bernease Herman, Dharma Dailey, Corinne Binz, Vivian Guetler, Daniella Raz, Aaron Tam, and P.M. Krafft
Date Available in IDEALS:2020-03-17


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