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Airlie Hilliard

Showing results (1-10 of 10) with videos related to

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Frontiers in Psychology|August 12, 2022
Robots are judging me: Perceived fairness of algorithmic recruitment toolsAirlie Hilliard, Nigel Guenole, Franziska Leutner
Patterns (New York, N.Y.)|April 25, 2022
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspectiveArthur Gwagwa, Emre Kazim, Airlie Hilliard
Journal of Intelligence|February 28, 2022
Measuring Personality through Images: Validating a Forced-Choice Image-Based Assessment of the Big Five Personality TraitsAirlie Hilliard, Emre Kazim, Theodoros Bitsakis, et al.
Acta Psychologica|July 3, 2022
Scoring a forced-choice image-based assessment of personality: A comparison of machine learning, regression, and summative approachesAirlie Hilliard, Emre Kazim, Theodoros Bitsakis, et al.
Journal of Intelligence|September 26, 2021
Systematizing Audit in Algorithmic RecruitmentEmre Kazim, Adriano Soares Koshiyama, Airlie Hilliard, et al.
Patterns (New York, N.Y.)|August 29, 2022
A critical review of the Online Safety BillMarkus Trengove, Emre Kazim, Denise Almeida, et al.
Frontiers in Artificial Intelligence|August 29, 2022
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystemEthan Barrance, Emre Kazim, Airlie Hilliard, et al.
Patterns (New York, N.Y.)|December 24, 2021
Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agricultureArthur Gwagwa, Emre Kazim, Patti Kachidza, et al.
Patterns (New York, N.Y.)|July 18, 2022
On the <i>sui generis</i> value capture of new digital technologies: The case of AIEmre Kazim, Enzo Fenoglio, Airlie Hilliard, et al.
Royal Society Open Science|July 30, 2024
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithmsAdriano Koshiyama, Emre Kazim, Philip Treleaven, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Psychology|August 12, 2022
Robots are judging me: Perceived fairness of algorithmic recruitment toolsAirlie Hilliard, Nigel Guenole, Franziska Leutner
Patterns (New York, N.Y.)|April 25, 2022
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspectiveArthur Gwagwa, Emre Kazim, Airlie Hilliard
Journal of Intelligence|February 28, 2022
Measuring Personality through Images: Validating a Forced-Choice Image-Based Assessment of the Big Five Personality TraitsAirlie Hilliard, Emre Kazim, Theodoros Bitsakis, et al.
Acta Psychologica|July 3, 2022
Scoring a forced-choice image-based assessment of personality: A comparison of machine learning, regression, and summative approachesAirlie Hilliard, Emre Kazim, Theodoros Bitsakis, et al.
Journal of Intelligence|September 26, 2021
Systematizing Audit in Algorithmic RecruitmentEmre Kazim, Adriano Soares Koshiyama, Airlie Hilliard, et al.
Patterns (New York, N.Y.)|August 29, 2022
A critical review of the Online Safety BillMarkus Trengove, Emre Kazim, Denise Almeida, et al.
Frontiers in Artificial Intelligence|August 29, 2022
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystemEthan Barrance, Emre Kazim, Airlie Hilliard, et al.
Patterns (New York, N.Y.)|December 24, 2021
Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agricultureArthur Gwagwa, Emre Kazim, Patti Kachidza, et al.
Patterns (New York, N.Y.)|July 18, 2022
On the <i>sui generis</i> value capture of new digital technologies: The case of AIEmre Kazim, Enzo Fenoglio, Airlie Hilliard, et al.
Royal Society Open Science|July 30, 2024
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithmsAdriano Koshiyama, Emre Kazim, Philip Treleaven, et al.
Pageof 1