Abeba Birhane

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Machine Learning

Top Venues

Publications

Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
AI auditing: The Broken Bus on the Road to AI Accountability. CoRR (2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
AI auditing: The Broken Bus on the Road to AI Accountability. SaTML (2024)
Abeba Birhane, Jelle van Dijk, Frank Pasquale
Debunking Robot Rights Metaphysically, Ethically, and Legally. CoRR (2024)
Abeba Birhane, Jelle van Dijk, Frank Pasquale
Debunking robot rights metaphysically, ethically, and legally. First Monday 29 (4) (2024)
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling. CoRR (2024)
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. FAccT (2024)
Abeba Birhane, Marek McGann
Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency. CoRR (2024)
Esther Mwema, Abeba Birhane
Undersea cables in Africa: The new frontiers of digital colonialism. First Monday 29 (4) (2024)
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. CoRR (2024)
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, N. 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
Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences. Cogn. Sci. 47 (1) (2023)
Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter
The Lost Art of Mathematical Modelling. CoRR (2023)
Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni
Into the LAION's Den: Investigating Hate in Multimodal Datasets. NeurIPS (2023)
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti
On Hate Scaling Laws For Data-Swamps. CoRR (2023)
Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane
The Surveillance AI Pipeline. CoRR (2023)
Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni
Into the LAIONs Den: Investigating Hate in Multimodal Datasets. CoRR (2023)
Abeba Birhane
Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence. CoRR (2022)
David Leslie, Morgan Briggs, Antonella Perini, Smera Jayadeva, Cami Rincón, Noopur Raval, Abeba Birhane, Rosamund Powell, Michael Katell, Mhairi Aitken
Data Justice Stories: A Repository of Case Studies. CoRR (2022)
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
The Values Encoded in Machine Learning Research. FAccT (2022)
Abeba Birhane, David J. T. Sumpter
The Games We Play: Critical Complexity Improves Machine Learning. HHAI (2022)
Hannah Kirk, Abeba Birhane, Bertie Vidgen, Leon Derczynski
Handling and Presenting Harmful Text in NLP Research. EMNLP (Findings) (2022)
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 S. Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
Taxonomy of Risks posed by Language Models. FAccT (2022)
David Leslie, Michael Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Thompson Chengeta, Abeba Birhane, Antonella Perini, Smera Jayadeva, Anjali Mazumder
Advancing Data Justice Research and Practice: An Integrated Literature Review. CoRR (2022)
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
Power to the People? Opportunities and Challenges for Participatory AI. EAAMO (2022)
Abeba Birhane
The Limits of Fairness. AIES (2022)
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
Power to the People? Opportunities and Challenges for Participatory AI. CoRR (2022)
Abeba Birhane, Vinay Uday Prabhu, John Whaley
Auditing saliency cropping algorithms. WACV (2022)
Leon Derczynski, Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen
Handling and Presenting Harmful Text. CoRR (2022)
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
The Forgotten Margins of AI Ethics. FAccT (2022)
Abeba Birhane, David J. T. Sumpter
The games we play: critical complexity improves machine learning. CoRR (2022)
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
The Forgotten Margins of AI Ethics. CoRR (2022)
Rediet Abebe, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan
Narratives and Counternarratives on Data Sharing in Africa. FAccT (2021)
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
Multimodal datasets: misogyny, pornography, and malignant stereotypes. CoRR (2021)
Abeba Birhane, Vinay Uday Prabhu
Large image datasets: A pyrrhic win for computer vision? WACV (2021)
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
The Values Encoded in Machine Learning Research. CoRR (2021)
Abeba Birhane
The Impossibility of Automating Ambiguity. Artif. Life 27 (1) (2021)
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 S. Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
Ethical and social risks of harm from Language Models. CoRR (2021)
Rediet Abebe, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan
Narratives and Counternarratives on Data Sharing in Africa. CoRR (2021)
Abeba Birhane
Algorithmic injustice: a relational ethics approach. Patterns 2 (2) (2021)
Abeba Birhane, Jelle van Dijk
Robot Rights?: Let's Talk about Human Welfare Instead. AIES (2020)
Abeba Birhane, Jelle van Dijk
Robot Rights? Let's Talk about Human Welfare Instead. CoRR (2020)
Vinay Uday Prabhu, Abeba Birhane
Large image datasets: A pyrrhic win for computer vision? CoRR (2020)
Abeba Birhane, Olivia Guest
Towards decolonising computational sciences. CoRR (2020)
Elayne Ruane, Abeba Birhane, Anthony Ventresque
Conversational AI: Social and Ethical Considerations. AICS (2019)
Abeba Birhane, Fred Cummins
Algorithmic Injustices: Towards a Relational Ethics. CoRR (2019)
Abeba Birhane, Roisin Fitzpatrick, Caoimhe Kavanagh, John Rogers
Illusory Correlations: An Investigation in a Social Media Setting. AICS (2016)