Abeba Birhane

According to our database, Abeba Birhane authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Undersea cables in Africa: The new frontiers of digital colonialism.

Esther Mwema, Abeba Birhane

First Monday, April, 2024

Debunking robot rights metaphysically, ethically, and legally.

Abeba Birhane, Jelle van Dijk, Frank Pasquale

First Monday, April, 2024

The reanimation of pseudoscience in machine learning and its ethical repercussions.

Mel Andrews, Andrew Smart, Abeba Birhane

Patterns, 2024

Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency.

Abeba Birhane, Marek McGann

CoRR, 2024

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling.

Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji

CoRR, 2024

AI auditing: The Broken Bus on the Road to AI Accountability.

Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models.

Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences.

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

Cogn. Sci., January, 2023

Into the LAIONs Den: Investigating Hate in Multimodal Datasets.

Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti, Alexandra Sasha Luccioni

CoRR, 2023

The Surveillance AI Pipeline.

Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane

CoRR, 2023

On Hate Scaling Laws For Data-Swamps.

Abeba Birhane, Vinay Uday Prabhu, Sang Han, Vishnu Naresh Boddeti

CoRR, 2023

The Lost Art of Mathematical Modelling.

Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter

CoRR, 2023

Into the LAION's Den: Investigating Hate in Multimodal Datasets.

Abeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence.

Abeba Birhane

CoRR, 2022

Handling and Presenting Harmful Text.

Leon Derczynski, Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen

CoRR, 2022

Data Justice Stories: A Repository of Case Studies.

David Leslie, Morgan Briggs, Antonella Perini, Smera Jayadeva, Cami Rincón, Noopur Raval, Abeba Birhane, Rosamund Powell, Michael A. Katell, Mhairi Aitken

CoRR, 2022

Advancing Data Justice Research and Practice: An Integrated Literature Review.

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

CoRR, 2022

Auditing saliency cropping algorithms.

Abeba Birhane, Vinay Uday Prabhu, John Whaley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

The Games We Play: Critical Complexity Improves Machine Learning.

Abeba Birhane, David J. T. Sumpter

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Taxonomy of Risks posed by Language Models.

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

The Forgotten Margins of AI Ethics.

Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

The Values Encoded in Machine Learning Research.

Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Handling and Presenting Harmful Text in NLP Research.

Hannah Kirk, Abeba Birhane, Bertie Vidgen, Leon Derczynski

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Power to the People? Opportunities and Challenges for Participatory AI.

Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

The Limits of Fairness.

Abeba Birhane

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Algorithmic injustice: a relational ethics approach.

Abeba Birhane

Patterns, 2021

Ethical and social risks of harm from Language Models.

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

CoRR, 2021

Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe

CoRR, 2021

The Impossibility of Automating Ambiguity.

Abeba Birhane

Artif. Life, 2021

Large image datasets: A pyrrhic win for computer vision?

Abeba Birhane, Vinay Uday Prabhu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Narratives and Counternarratives on Data Sharing in Africa.

Rediet Abebe, Kehinde D. Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Towards decolonising computational sciences.

Abeba Birhane, Olivia Guest

CoRR, 2020

Robot Rights?: Let's Talk about Human Welfare Instead.

Abeba Birhane, Jelle van Dijk

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Algorithmic Injustices: Towards a Relational Ethics.

Abeba Birhane, Fred Cummins

CoRR, 2019

Conversational AI: Social and Ethical Considerations.

Elayne Ruane, Abeba Birhane, Anthony Ventresque

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2016

Illusory Correlations: An Investigation in a Social Media Setting.

Abeba Birhane, Roisin Fitzpatrick, Caoimhe Kavanagh, John Rogers

Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016