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Dr. Abeba Birhane
Assistant Professor (Artificial Intellig, Computer Science
Email birhanea@tcd.ie PhonePublications and Further Research Outputs
- Ruane, E., Birhane, A., Ventresque, A., Conversational AI: Social and ethical considerations, Irish Conference on Artificial Intelligence and Cognitive Science, 2563, 2019, pp104-115Conference Paper, 2019
- Birhane, A and Kasirzadeh, A and Leslie, D and Wachter, S, Finanzierung der Forschung, Organ der Neurowissenschaftlichen Gesellschaft, 30, (2), 2024, p20Journal Article, 2024
- Birhane, Abeba and van Dijk, Jelle and Pasquale, Frank, Debunking robot rights metaphysically, ethically, and legally, First Monday, 2024Journal Article, 2024
- Andrews, Mel and Smart, Andrew and Birhane, Abeba, The reanimation of pseudoscience in machine learning and its ethical repercussions, Patterns, 5, (9), 2024Journal Article, 2024
- Birhane, Abeba and McGann, Marek, Large models of what? Mistaking engineering achievements for human linguistic agency, Language Sciences, 106, 2024, p101672Journal Article, 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--1244Conference Paper, 2024
- Mwema, Esther and Birhane, Abeba, Undersea cables in Africa: The new frontiers of digital colonialism, First Monday, 2024Journal Article, 2024
- 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, 2024Conference Paper, 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, 2024Journal Article, 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--41Journal Article, 2023
- 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]Book Chapter, 2023
- 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--280Journal Article, 2023
- Gyllingberg, Linn and Birhane, Abeba and Sumpter JT David, The lost art of mathematical modelling, Mathematical biosciences, 362, 2023, p109033Journal Article, 2023
- Birhane, Abeba and Prabhu, Vinay and Han, Sang and Boddeti, Vishnu Naresh, On hate scaling laws for data-swamps, arXiv preprint arXiv:2306.13141, 2023Journal Article, 2023
- Kidd, Celeste and Birhane, Abeba, How AI can distort human beliefs, Science, 380, (6651), 2023, p1222--1223Journal Article, 2023
- 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, pe13230Journal Article, 2023
- Algorithmic Colonization of Africa in, Imagining AI: How the World Sees Intelligent Machines, Oxford University Press, 2023, pp247 , [Birhane, Abeba]Book Chapter, 2023
- 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, 2023Journal Article, 2023
- 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--184Conference Paper, 2022
- Birhane, Abeba and Sumpter, David JT, The games we play: critical complexity improves machine learning, HHAI2022: Augmenting Human Intellect, IOS Press, 2022, pp3--16Conference Paper, 2022
- 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--229Conference Paper, 2022
- 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--958Conference Paper, 2022
- 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--4059Conference Paper, 2022
- 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--8Conference Paper, 2022
- Kirk, Hannah Rose and Birhane, Abeba and Vidgen, Bertie and Derczynski, Leon, Handling and presenting harmful text in NLP research, 2022Conference Paper, 2022
- Birhane, Abeba, The unseen Black faces of AI algorithms, Nature, 2022Journal Article, 2022
- Birhane, Abeba, Algorithmic injustice: a relational ethics approach, Cell Patterns, 2, (2), 2021Journal Article, 2021
- Cheap AI in, Fake AI, Meatspace press, 2021, [Kaltheuner, Frederike]Book Chapter, 2021
- Prabhu, Vinay Uday and Birhane, Abeba, Large datasets: A pyrrhic win for computer vision, IEEE Winter Conference on Applications of Computer Vision (WACV), 2021Conference Paper, 2021
- Birhane, Abeba, Algorithmic colonization of Africa, SCRIPTed, 17, 2020, p389Journal Article, 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--213Conference Paper, 2020
- Birhane, Abeba and Guest, Olivia, Towards decolonising computational sciences, Danish Journal of Women, Gender and Research, 2020Journal Article, 2020
- 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--341Conference Paper, 2021
- Comunidades, algoritmos e ativismos digitais: Olhares afrodiasp{\'o in, Comunidades, algoritmos e ativismos digitais: olhares afrodiaspóricos, Editora Literarua, 2020, [Silva, Tarcazio]Book Chapter, 2020
- Birhane Abeba, The impossibility of automating ambiguity, Artificial Life, 27, (1), 2021, p44 - 61Journal Article, 2021
- 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, 2024Conference Paper
- 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, 2022Journal Article
- 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, 2022Journal Article
- Birhane, Abeba and Prabhu, Vinay Uday and Kahembwe, Emmanuel, Multimodal datasets: misogyny, pornography, and malignant stereotypes. arXiv (2021), arXiv preprint arXiv:2110.01963, 2021Journal Article
Research Expertise
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.
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TitleSummary
Auditing and accountability, Performance evaluation, Complex systems, Artificial intelligence not elsewhere classified, Cognition,
Recognition
- VentureBeat AI Innovation Award in computer vision 2020
- Lero Director"s Prize for Diversity and Inclusion, Lero, the SFI Research Centre for Software 2020
- Distinguished Paper Award, ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022
- Bright sparks of STEM: 19 influencers you need to know about, Silicon Republic 2020
- TIME 100 most influential persons in AI 2023 2023
- 100 Brilliant Women in AI Ethics Hall of Fame Honoree, Women in AI Ethics" 2021
- Best Paper Award, Black in AI workshop, Conference on Neural Information Processing Systems (NeurIPS) 2019
- 80 African Women Advancing Artificial Intelligence in Africa and Around the World 2021
- Distinguished Paper Award, 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2024
- Lero Director"s Prize for PhD contribution, Lero, the SFI Research Centre for Software 2022
- OECD AI Expert Group on Risk \& Accountability Present
- Bridging Responsible AI Divides (BRAID) Advisory Board memeber, Centre for Technomoral Futures, Edinburgh Futures Institute Present
- Association for Computing Machinery (ACM) Present
- Artificial Intelligence Advisory Council in Ireland Present
- Member of the Public Interest AI Working Group for the French AI Action Summit Present
- UN High-level Advisory Body on Artificial Intelligence Present