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This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms.
Handbook of Inter-Rater Reliability, 4th Edition: The Definitive Guide to Measuring The Extent of Agreement Among Raters (4 ed.)
Kilem L. Gwet. 2014 · 2014
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Understanding Artificial Intelligence Ethics and Safety - A Guide for the Responsible Design and Implementation of AI Systems in the Public Sector
David Leslie. 2019 · 2019
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The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (Virtual Event, USA) (AIES ’21) . Association for Computing Machinery, New York, NY, USA, 287–297
Mohamed Abdalla and Moustafa Abdalla. 2021 · 2021
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Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts) and amending certain Union legislative acts
European Commission. 2021 · 2021
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Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
Sean McGregor. 2021 · 2021
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On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, and Percy Liang. 2022 · 2022
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Towards a Taxonomy of AI Risks in the Health Domain. In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) . IEEE, Laguna Hills, CA, USA, 1–8
Delaram Golpayegani, Joshua Hovsha, Leon W. S. Rossmaier, Rana Saniei, and Jana Mišić. 2022 · 2022
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The Fallacy of AI Functionality. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 959–972
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, and Andrew Selbst. 2022 · 2022
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Taxonomy of Risks posed by Language Models. In 2022 ACM Conference on Fairness, Accountability, and Transparency . ACM, Seoul Republic of Korea, 214–229
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, and Iason Gabriel. 2022 · 2022
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A Sector-Based Approach to AI Ethics: Understanding Ethical Issues of AI-related Incidents within Their Sectoral Context. In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’23) . Association for Computing Machinery, New York, NY, USA, 705–714
Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, and Djalel Benbouzid. 2023 · 2023
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Scaffolding the Open: Transforming an International Studies Course Using Open Pedagogy
Hilary Bussell and Amanda Larson. 2023 · 2023
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TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI
Andrew Critch and Stuart Russell. 2023 · 2023
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Generating Harms - Generative AI’s Impact & Path Forward
Grant Fergusson, Caitriona Fitzgerald, Chris Frascella, Megan Iorio, Tom McBrien, Calli Schroeder, Ben Winters, and Enid Zhou. 2023 · 2023
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SAFE Artificial Intelligence in Finance
Paolo Giudici and Emanuela Raffinetti. 2023 · 2023
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Tech money in civil society: whose interests do digital rights organisations represent?
Jake Goldenfein and Monique Mann. 2023 · 2023
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To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23) . Association for Computing Machinery, New York, NY, USA, 905–915
Delaram Golpayegani, Harshvardhan J. Pandit, and Dave Lewis. 2023 · 2023
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Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N’Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, and Gurleen Virk. 2023 · 2023
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Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Elham Tabassi. 2023 · 2023
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Participatory AI Risk Prioritization: Alignment Assembly Report October 2023
The Collective Intelligence Project. 2023 · 2023
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Artificial Intelligence: Development, Risks and Regulation
James Tobin. 2023 · 2023
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Growing public concern about the role of artificial intelligence in daily life
Alec Tyson and Emma Kikuchi. 2023 · 2023
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Dan Hendrycks, Mantas Mazeika, and Thomas Woodside. 2023 · 2023
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Adding Structure to AI Harm - An Introduction to CSET’s AI Harm Framework
Mia Hoffman and Heather Frase. 2023 · 2023
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Leonie Koessler and Jonas Schuett. 2023 · 2023
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Types of harm - Azure Application Architecture Guide
Microsoft. 2023 · 2023
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Ghost in the Machine – Addressing the Consumer Harms of Generative AI
Norwegian Consumer Council. 2023 · 2023
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Stocktaking for the development of an AI incident definition
OECD. 2023 · 2023
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The $2 Per Hour Workers Who Made ChatGPT Safer
Billy Perrigo. 2023 · 2023
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From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, 1–18
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar Jatho, Joshua Kroll, Ajung Moon, and Negar Rostamzadeh. 2023 · 2023
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UN. 2023 · 2023
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A Rank Graduation Box for SAFE AI
Golnoosh Babaei, Paolo Giudici, and Emanuela Raffinetti. 2025 · 2024
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Managing Extreme AI Risks amid Rapid Progress
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Theoretical AI Harms Are a Distraction
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Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24) . Association for Computing Machinery, New York, NY, USA, 359–376
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