Accountability in Algorithmic Systems: From Principles to Practice

Daricia Wilkinson; Kate Crawford; Hanna Wallach; Deborah Raji; Bogdana Rakova; Ranjit Singh; Angelika Strohmayer; Ethan Zuckerman

doi:10.1145/3544549.3583747

Accountability in Algorithmic Systems: From Principles to Practice

Daricia Wilkinson, Kate Crawford, Hanna Wallach, Deborah Raji, Bogdana Rakova, Ranjit Singh, Angelika Strohmayer, Ethan Zuckerman

Design Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

199 Downloads (Pure)

Abstract

Growing concerns over the societal implications of artificial intelligence has motivated an interdisciplinary push towards mechanisms and tools that hold algorithmic systems accountable. Although there have been considerable strides around defining what it means to hold AI systems accountable, operationalizing those principles have created a barrage of challenges. Researchers, practitioners, and regulators have all raised concerns about the completeness of accountability methods and observed spikes in anxiousness about the potential risk of these tools being manipulated as rubber stamps of approval while harms continue to slip through the cracks. This interactive panel gathers researchers and practitioners with expertise in HCI, Responsible AI, Machine Learning, and Public Policy to critically discuss issues regarding accountability in algorithmic systems to reflect on potential opportunities for re-imagining scalable directions for accountability within these systems.

Original language	English
Title of host publication	CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Editors	Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters
Place of Publication	New York, NY, USA
Publisher	ACM
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781450394222
DOIs	https://doi.org/10.1145/3544549.3583747
Publication status	Published - 19 Apr 2023
Event	ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI23) - Congress Center Hamburg, Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI23)
Abbreviated title	CHI23
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org/

Keywords

Accountability
algorithmic systems
artificial intelligence
responsible AI
policy

Access to Document

10.1145/3544549.3583747

CHI2023_PanelAccepted author manuscript, 398 KB

Cite this

Wilkinson, D., Crawford, K., Wallach, H., Raji, D., Rakova, B., Singh, R., Strohmayer, A., & Zuckerman, E. (2023). Accountability in Algorithmic Systems: From Principles to Practice. In K. Väänänen, T. Goyal, P. O. Kristensson, & A. Peters (Eds.), CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-4). Article 521 ACM. https://doi.org/10.1145/3544549.3583747

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abstract = "Growing concerns over the societal implications of artificial intelligence has motivated an interdisciplinary push towards mechanisms and tools that hold algorithmic systems accountable. Although there have been considerable strides around defining what it means to hold AI systems accountable, operationalizing those principles have created a barrage of challenges. Researchers, practitioners, and regulators have all raised concerns about the completeness of accountability methods and observed spikes in anxiousness about the potential risk of these tools being manipulated as rubber stamps of approval while harms continue to slip through the cracks. This interactive panel gathers researchers and practitioners with expertise in HCI, Responsible AI, Machine Learning, and Public Policy to critically discuss issues regarding accountability in algorithmic systems to reflect on potential opportunities for re-imagining scalable directions for accountability within these systems.",

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Wilkinson, D, Crawford, K, Wallach, H, Raji, D, Rakova, B, Singh, R, Strohmayer, A & Zuckerman, E 2023, Accountability in Algorithmic Systems: From Principles to Practice. in K Väänänen, T Goyal, PO Kristensson & A Peters (eds), CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 521, ACM, New York, NY, USA, pp. 1-4, ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI23), Hamburg, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544549.3583747

Accountability in Algorithmic Systems: From Principles to Practice. / Wilkinson, Daricia; Crawford, Kate; Wallach, Hanna et al.
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. ed. / Kaisa Väänänen; Tesh Goyal; Per Ola Kristensson; Anicia Peters. New York, NY, USA: ACM, 2023. p. 1-4 521.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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ER -

Accountability in Algorithmic Systems: From Principles to Practice

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