Publications and Further Research Outputs
Peer-Reviewed Publications
Birhane, A and Kasirzadeh, A and Leslie, D and Wachter, S, Finanzierung der Forschung, Organ der Neurowissenschaftlichen Gesellschaft, 30, (2), 2024, p20
Birhane, Abeba and van Dijk, Jelle and Pasquale, Frank, Debunking robot rights metaphysically, ethically, and legally, First Monday, 2024
Birhane, Abeba and Han, Sanghyun and Boddeti, Vishnu and Luccioni, Sasha and others, Into the laionâ s den: Investigating hate in multimodal datasets, Advances in Neural Information Processing Systems, 36, 2024
Birhane, Abeba and Dehdashtian, Sepehr and Prabhu, Vinay and Boddeti, Vishnu, The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models, The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024, pp1229--1244
Birhane, Abeba and McGann, Marek, Large models of what? Mistaking engineering achievements for human linguistic agency, Language Sciences, 106, 2024, p101672
Birhane, Abeba and Steed, Ryan and Ojewale, Victor and Vecchione, Briana and Raji, Inioluwa Deborah, SoK: AI Auditing: The Broken Bus on the Road to AI Accountability, 2nd IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Mwema, Esther and Birhane, Abeba, Undersea cables in Africa: The new frontiers of digital colonialism, First Monday, 2024
Andrews, Mel and Smart, Andrew and Birhane, Abeba, The reanimation of pseudoscience in machine learning and its ethical repercussions, Patterns, 5, (9), 2024
Ghassemi, Marzyeh and Birhane, Abeba and Bilal, Mushtaq and Kankaria, Siddharth and Malone, Claire and Mollick, Ethan and Tustumi, Francisco, ChatGPT one year on: who is using it, how and why?, Nature, 624, (7990), 2023, p39--41
Kalluri, Pratyusha Ria and Agnew, William and Cheng, Myra and Owens, Kentrell and Soldaini, Luca and Birhane, Abeba, The surveillance AI pipeline, arXiv preprint arXiv:2309.15084, 2023
Algorithmic Colonization of Africa in, Imagining AI: How the World Sees Intelligent Machines, Oxford University Press, 2023, pp247 , [Birhane, Abeba]
Birhane, Abeba and Kasirzadeh, Atoosa and Leslie, David and Wachter, Sandra, Science in the age of large language models, Nature Reviews Physics, 5, (5), 2023, p277--280
Itâ s incomprehensible: on machine learning and decoloniality in, Handbook of Critical studies of artificial intelligence, Edward Elgar Publishing, 2023, pp128--140 , [Birhane, Abeba and Talat, Zeerak]
Gyllingberg, Linn and Birhane, Abeba and Sumpter JT David, The lost art of mathematical modelling, Mathematical biosciences, 362, 2023, p109033
Dingemanse, Mark and Liesenfeld, Andreas and Rasenberg, Marlou and Albert, Saul and Ameka, Felix K and Birhane, Abeba and Bolis, Dimitris and Cassell, Justine and Clift, Rebecca and Cuffari, Elena and others, Beyond single-mindedness: A figure-ground reversal for the cognitive sciences, Cognitive Science, 47, (1), 2023, pe13230
Kidd, Celeste and Birhane, Abeba, How AI can distort human beliefs, Science, 380, (6651), 2023, p1222--1223
Birhane, Abeba and Prabhu, Vinay and Han, Sang and Boddeti, Vishnu Naresh, On hate scaling laws for data-swamps, arXiv preprint arXiv:2306.13141, 2023
Birhane, Abeba and Isaac, William and Prabhakaran, Vinodkumar and Diaz, Mark and Elish, Madeleine Clare and Gabriel, Iason and Mohamed, Shakir, Power to the people? Opportunities and challenges for participatory AI, Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2022, pp1--8
Birhane, Abeba and Prabhu, Vinay Uday and Whaley, John, Auditing saliency cropping algorithms, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022, pp4051--4059
Birhane, Abeba and Kalluri, Pratyusha and Card, Dallas and Agnew, William and Dotan, Ravit and Bao, Michelle, The values encoded in machine learning research, Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp173--184
Weidinger, Laura and Uesato, Jonathan and Rauh, Maribeth and Griffin, Conor and Huang, Po-Sen and Mellor, John and Glaese, Amelia and Cheng, Myra and Balle, Borja and Kasirzadeh, Atoosa and others, Taxonomy of risks posed by language models, Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp214--229
Birhane, Abeba, The unseen Black faces of AI algorithms, Nature, 2022
Birhane, Abeba and Sumpter, David JT, The games we play: critical complexity improves machine learning, HHAI2022: Augmenting Human Intellect, IOS Press, 2022, pp3--16
Kirk, Hannah Rose and Birhane, Abeba and Vidgen, Bertie and Derczynski, Leon, Handling and presenting harmful text in NLP research, 2022
Birhane A., Ruane E., Laurent T., S. Brown M., Flowers J., Ventresque A., L. Dancy C., The Forgotten Margins of AI Ethics, FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp948 - 958, pp948-958
Birhane, Abeba and Ruane, Elayne and Laurent, Thomas and S. Brown, Matthew and Flowers, Johnathan and Ventresque, Anthony and L. Dancy, Christopher, The forgotten margins of AI ethics, Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp948--958
Abebe, Rediet and Aruleba, Kehinde and Birhane, Abeba and Kingsley, Sara and Obaido, George and Remy, Sekou L and Sadagopan, Swathi, Narratives and counternarratives on data sharing in Africa, ACM conference on fairness, accountability, and transparency, 2021, pp329--341
Birhane, Abeba, Algorithmic injustice: a relational ethics approach, Cell Patterns, 2, (2), 2021
Cheap AI in, Fake AI, Meatspace press, 2021, [Kaltheuner, Frederike]
Prabhu, Vinay Uday and Birhane, Abeba, Large datasets: A pyrrhic win for computer vision, IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Birhane Abeba, The impossibility of automating ambiguity, Artificial Life, 27, (1), 2021, p44 - 61
Comunidades, algoritmos e ativismos digitais: Olhares afrodiasp{\'o in, Comunidades, algoritmos e ativismos digitais: olhares afrodiaspóricos, Editora Literarua, 2020, [Silva, Tarcazio]
Birhane, Abeba and Guest, Olivia, Towards decolonising computational sciences, Danish Journal of Women, Gender and Research, 2020
Birhane, Abeba and Van Dijk, Jelle, Robot rights? Let's talk about human welfare instead, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020, pp207--213
Birhane, Abeba, Algorithmic colonization of Africa, SCRIPTed, 17, 2020, p389
Ruane, E., Birhane, A., Ventresque, A., Conversational AI: Social and ethical considerations, Irish Conference on Artificial Intelligence and Cognitive Science, 2563, 2019, pp104-115
Non-Peer-Reviewed Publications
Ojewale, Victor and Steed, Ryan and Vecchione, Briana and Birhane, Abeba and Raji, Inioluwa Deborah, Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling, 2024
Leslie, David and Briggs, Morgan and Perini, Antonella and Jayadeva, Smera and Rinc{\'o, Data Justice Stories: A Repository of Case Studies, arXiv preprint arXiv:2204.03100, 2022
Leslie, David and Katell, Michael and Aitken, Mhairi and Singh, Jatinder and Briggs, Morgan and Powell, Rosamund and Rinc{\'o, Advancing data justice research and practice: An integrated literature review, arXiv preprint arXiv:2204.03090, 2022
Birhane, Abeba and Prabhu, Vinay Uday and Kahembwe, Emmanuel, Multimodal datasets: misogyny, pornography, and malignant stereotypes. arXiv (2021), arXiv preprint arXiv:2110.01963, 2021
Research Expertise
Description
Birhane is interested in AI accountability research. This encompasses from systematic examination of the AI ecology and governance structures, to execution of algorithmic audits. Central to Birhane"s research is challenging and dismantling societal and historical inequalities and power asymmetries; holding responsible bodies accountable; and paving the way for a future marked by just and equitable AI systems that work for all.Projects
Recognition
Awards and Honours
Distinguished Paper Award, 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
TIME 100 most influential persons in AI 2023
Distinguished Paper Award, ACM Conference on Fairness, Accountability, and Transparency (FAccT)
Lero Director"s Prize for PhD contribution, Lero, the SFI Research Centre for Software
100 Brilliant Women in AI Ethics Hall of Fame Honoree, Women in AI Ethics"
80 African Women Advancing Artificial Intelligence in Africa and Around the World
Bright sparks of STEM: 19 influencers you need to know about, Silicon Republic
VentureBeat AI Innovation Award in computer vision
Lero Director"s Prize for Diversity and Inclusion, Lero, the SFI Research Centre for Software
Best Paper Award, Black in AI workshop, Conference on Neural Information Processing Systems (NeurIPS)
Memberships
Artificial Intelligence Advisory Council in Ireland
Association for Computing Machinery (ACM)
Bridging Responsible AI Divides (BRAID) Advisory Board memeber, Centre for Technomoral Futures, Edinburgh Futures Institute
Member of the Public Interest AI Working Group for the French AI Action Summit
OECD AI Expert Group on Risk \& Accountability
UN High-level Advisory Body on Artificial Intelligence