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Harms from Increasingly Agentic Algorithmic Systems:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,

Chan, Alan ; Salganik, Rebecca ; Markelius, Alva... - p. 651-666 , 2023

Link: https://dl.acm.org/doi/10.1145/3593013.3594033

RT 
T1 <cTitle>Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Harms from Increasingly Agentic Algorithmic Systems</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3594033&Exemplar=1&LAN=DE
				
A1 Chan, Alan
A1 Salganik, Rebecca
A1 Markelius, Alva
A1 Pang, Chris
A1 Rajkumar, Nitarshan
A1 Krasheninnikov, Dmitrii
A1 Langosco, Lauro
A1 He, Zhonghao
A1 Duan, Yawen
A1 Carroll, Micah
A1 Lin, Michelle
A1 Mayhew, Alex
A1 Collins, Katherine
A1 Molamohammadi, Maryam
A1 Burden, John
A1 Zhao, Wanru
A1 Rismani, Shalaleh
A1 Voudouris, Konstantinos
A1 Bhatt, Umang
A1 Weller, Adrian
A1 Krueger, David
A1 Maharaj, Tegan
PB ACM
YR 2023
K1 FATE
K1 agency
K1 algorithmic systems
K1 autonomy
K1 delayed impacts
K1 ethics
K1 harms
K1 negative externalities
K1 power
K1 safety
K1 sociotechnical systems
K1 Computing methodologies
K1 Security and privacy
K1 Human and societal aspects of security and privacy
K1 Social and professional topics
K1 Computing/technology policy
K1 Artificial intelligence
K1 Applied computing
K1 Law, social and behavioral sciences
K1 Distributed artificial intelligence
K1 Law
K1 Professional topics
K1 Computing profession
K1 Codes of ethics
K1 Multi-agent systems
K1 Intelligent agents
SP 651
OP 666
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3593013.3594033
DO https://dl.acm.org/doi/10.1145/3593013.3594033
SF ELIB - SuUB Bremen

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