TY - GEN
T1 - Fairness in agreement with European values
T2 - 5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2022
AU - Colmenarejo, Alejandra Bringas
AU - Nannini, Luca
AU - Rieger, Alisa
AU - Scott, Kristen M.
AU - Zhao, Xuan
AU - Patro, Gourab K.
AU - Kasneci, Gjergji
AU - Kinder-Kurlanda, Katharina
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/7/26
Y1 - 2022/7/26
N2 - With increasing digitalization, Artificial Intelligence (AI) is becoming ubiquitous. AI-based systems to identify, optimize, automate, and scale solutions to complex economic and societal problems are being proposed and implemented. This has motivated regulation efforts, including the Proposal of an EU AI Act. This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them, focusing on (but not limited to) the Proposal. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. Then, we map these perspectives along three axes of interests: (i) Standardization vs. Localization, (ii) Utilitarianism vs. Egalitarianism, and (iii) Consequential vs. Deontological ethics which leads us to identify a pattern of common arguments and tensions between these axes. Positioning the discussion within the axes of interest and with a focus on reconciling the key tensions, we identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
AB - With increasing digitalization, Artificial Intelligence (AI) is becoming ubiquitous. AI-based systems to identify, optimize, automate, and scale solutions to complex economic and societal problems are being proposed and implemented. This has motivated regulation efforts, including the Proposal of an EU AI Act. This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them, focusing on (but not limited to) the Proposal. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. Then, we map these perspectives along three axes of interests: (i) Standardization vs. Localization, (ii) Utilitarianism vs. Egalitarianism, and (iii) Consequential vs. Deontological ethics which leads us to identify a pattern of common arguments and tensions between these axes. Positioning the discussion within the axes of interest and with a focus on reconciling the key tensions, we identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
KW - ai regulation
KW - consequential ethics
KW - deontological ethics
KW - egalitarian welfare
KW - eu ai proposal
KW - localization
KW - standardization
KW - utilitarian welfare
UR - http://www.scopus.com/inward/record.url?scp=85137155810&partnerID=8YFLogxK
U2 - 10.1145/3514094.3534158
DO - 10.1145/3514094.3534158
M3 - Conference contribution
AN - SCOPUS:85137155810
T3 - AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
SP - 107
EP - 118
BT - AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
PB - Association for Computing Machinery, Inc
Y2 - 1 August 2022 through 3 August 2022
ER -