Abeba Birhane

50 papers A* 2A 2C 2Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Terms of (Ab)Use: An Analysis of GenAI Services.
CoRR
Harshvardhan J. Pandit, Dick A. H. Blankvoort, Adel Shaaban, Sasha Luccioni, Abeba Birhane
2025 J jnl
Computer-vision research powers surveillance technology.
Nat.
Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane
2025 — conf
Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models.
CSCW Companion
Morgan Klaus Scheuerman, Dora Zhao, Jerone T. A. Andrews, Abeba Birhane, Q. Vera Liao, Georgia Panagiotidou, Pooja Chitre, Kathleen H. Pine, Shawn Walker, Jieyu Zhao, Alice Xiang
2025 A* conf
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.
CHI
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
2024 — conf
AI auditing: The Broken Bus on the Road to AI Accountability.
SaTML
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
2024 J jnl
AI auditing: The Broken Bus on the Road to AI Accountability.
CoRR
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
2024 J jnl
Debunking Robot Rights Metaphysically, Ethically, and Legally.
CoRR
Abeba Birhane, Jelle van Dijk, Frank Pasquale
2024 J jnl
Debunking robot rights metaphysically, ethically, and legally.
First Monday
Abeba Birhane, Jelle van Dijk, Frank Pasquale
2024 J jnl
Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency.
CoRR
Abeba Birhane, Marek McGann
2024 — conf
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models.
FAccT
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti
2024 J jnl
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models.
CoRR
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti
2024 J jnl
The reanimation of pseudoscience in machine learning and its ethical repercussions.
Patterns
Mel Andrews, Andrew Smart, Abeba Birhane
2024 J jnl
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.
CoRR
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
2024 J jnl
Undersea cables in Africa: The new frontiers of digital colonialism.
First Monday
Esther Mwema, Abeba Birhane
2023 J jnl
Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences.
Cogn. Sci.
Mark Dingemanse, Andreas Liesenfeld, Marlou Rasenberg, Saul Albert, Felix K. Ameka, Abeba Birhane, Dimitris Bolis, Justine Cassell, Rebecca Clift, Elena Cuffari, Hanne De Jaegher, Catarina Dutilh Novaes, Nicholas J. Enfield, Riccardo Fusaroli, Eleni Gregoromichelaki, Edwin Hutchins, Ivana Konvalinka, Damian Milton, Joanna Raczaszek-Leonardi, Vasudevi Reddy, Federico Rossano, David Schlangen, Johanna Seibt, Elizabeth Stokoe, Lucy A. Suchman, Cordula Vesper, Thalia Wheatley, Martina Wiltschko
2023 A* conf
Into the LAION's Den: Investigating Hate in Multimodal Datasets.
NeurIPS
Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni
2023 J jnl
Into the LAIONs Den: Investigating Hate in Multimodal Datasets.
CoRR
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni
2023 J jnl
On Hate Scaling Laws For Data-Swamps.
CoRR
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti
2023 J jnl
The Lost Art of Mathematical Modelling.
CoRR
Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter
2023 J jnl
The Surveillance AI Pipeline.
CoRR
Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane
2022 J jnl
Advancing Data Justice Research and Practice: An Integrated Literature Review.
CoRR
David Leslie, Michael A. Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Thompson Chengeta, Abeba Birhane, Antonella Perini, Smera Jayadeva, Anjali Mazumder
2022 A conf
Auditing saliency cropping algorithms.
WACV
Abeba Birhane, Vinay Uday Prabhu, John Whaley
2022 J jnl
Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence.
CoRR
Abeba Birhane
2022 J jnl
Data Justice Stories: A Repository of Case Studies.
CoRR
David Leslie, Morgan Briggs, Antonella Perini, Smera Jayadeva, Cami Rincón, Noopur Raval, Abeba Birhane, Rosamund Powell, Michael A. Katell, Mhairi Aitken
2022 — conf
Handling and Presenting Harmful Text in NLP Research.
EMNLP (Findings)
Hannah Kirk, Abeba Birhane, Bertie Vidgen, Leon Derczynski
2022 J jnl
Handling and Presenting Harmful Text.
CoRR
Leon Derczynski, Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen
2022 — conf
Power to the People? Opportunities and Challenges for Participatory AI.
EAAMO
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
2022 J jnl
Power to the People? Opportunities and Challenges for Participatory AI.
CoRR
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
2022 — conf
Taxonomy of Risks posed by Language Models.
FAccT
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, Iason Gabriel
2022 — conf
The Forgotten Margins of AI Ethics.
FAccT
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
2022 J jnl
The Forgotten Margins of AI Ethics.
CoRR
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
2022 — conf
The Games We Play: Critical Complexity Improves Machine Learning.
HHAI
Abeba Birhane, David J. T. Sumpter
2022 C conf
The Limits of Fairness.
AIES
Abeba Birhane
2022 — conf
The Values Encoded in Machine Learning Research.
FAccT
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
2022 J jnl
The games we play: critical complexity improves machine learning.
CoRR
Abeba Birhane, David J. T. Sumpter
2021 J jnl
Algorithmic injustice: a relational ethics approach.
Patterns
Abeba Birhane
2021 J jnl
Ethical and social risks of harm from Language Models.
CoRR
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
2021 A conf
Large image datasets: A pyrrhic win for computer vision?
WACV
Abeba Birhane, Vinay Uday Prabhu
2021 J jnl
Multimodal datasets: misogyny, pornography, and malignant stereotypes.
CoRR
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
2021 — conf
Narratives and Counternarratives on Data Sharing in Africa.
FAccT
Rediet Abebe, Kehinde D. Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan
2021 J jnl
Narratives and Counternarratives on Data Sharing in Africa.
CoRR
Rediet Abebe, Kehinde D. Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan
2021 J jnl
The Impossibility of Automating Ambiguity.
Artif. Life
Abeba Birhane
2021 J jnl
The Values Encoded in Machine Learning Research.
CoRR
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
2020 J jnl
Large image datasets: A pyrrhic win for computer vision?
CoRR
Vinay Uday Prabhu, Abeba Birhane
2020 J jnl
Robot Rights? Let's Talk about Human Welfare Instead.
CoRR
Abeba Birhane, Jelle van Dijk
2020 C conf
Robot Rights?: Let's Talk about Human Welfare Instead.
AIES
Abeba Birhane, Jelle van Dijk
2020 J jnl
Towards decolonising computational sciences.
CoRR
Abeba Birhane, Olivia Guest
2019 J jnl
Algorithmic Injustices: Towards a Relational Ethics.
CoRR
Abeba Birhane, Fred Cummins
2019 — conf
Conversational AI: Social and Ethical Considerations.
AICS
Elayne Ruane, Abeba Birhane, Anthony Ventresque
2016 — conf
Illusory Correlations: An Investigation in a Social Media Setting.
AICS
Abeba Birhane, Roisin Fitzpatrick, Caoimhe Kavanagh, John Rogers