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Dr. Abeba Birhane

Assistant Professor (Artificial Intellig (Computer Science)
      
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Dr. Abeba Birhane

Assistant Professor (Artificial Intellig (Computer Science)

 birhanea@tcd.ie

 


Project Title
 
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Details Date From Date To
Artificial Intelligence Advisory Council in Ireland Jan 2024 Present
Association for Computing Machinery (ACM) 2019 Present
Bridging Responsible AI Divides (BRAID) Advisory Board memeber, Centre for Technomoral Futures, Edinburgh Futures Institute 2023 Present
Member of the Public Interest AI Working Group for the French AI Action Summit June 2024 Present
UN High-level Advisory Body on Artificial Intelligence Oct 2023 Present
OECD AI Expert Group on Risk \& Accountability April 2024 Present
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, Conference Paper, PUBLISHED
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 , Conference Paper, PUBLISHED
Birhane, A and Kasirzadeh, A and Leslie, D and Wachter, S, Finanzierung der Forschung, Organ der Neurowissenschaftlichen Gesellschaft, 30, (2), 2024, p20 , Journal Article, PUBLISHED
Birhane, Abeba and van Dijk, Jelle and Pasquale, Frank, Debunking robot rights metaphysically, ethically, and legally, First Monday, 2024, Journal Article, PUBLISHED
Andrews, Mel and Smart, Andrew and Birhane, Abeba, The reanimation of pseudoscience in machine learning and its ethical repercussions, Patterns, 5, (9), 2024, Journal Article, PUBLISHED
Birhane, Abeba and McGann, Marek, Large models of what? Mistaking engineering achievements for human linguistic agency, Language Sciences, 106, 2024, p101672 , Journal Article, PUBLISHED
Mwema, Esther and Birhane, Abeba, Undersea cables in Africa: The new frontiers of digital colonialism, First Monday, 2024, Journal Article, PUBLISHED
Birhane, Abeba and Han, Sanghyun and Boddeti, Vishnu and Luccioni, Sasha and others, Into the laion†s den: Investigating hate in multimodal datasets, Advances in Neural Information Processing Systems, 36, 2024, Journal Article, PUBLISHED
It†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, PUBLISHED
Algorithmic Colonization of Africa in, Imagining AI: How the World Sees Intelligent Machines, Oxford University Press, 2023, pp247 , [Birhane, Abeba], Book Chapter, PUBLISHED
  

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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, Conference Paper, PUBLISHED
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, Journal Article, PUBLISHED
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, Journal Article, PUBLISHED
Birhane, Abeba and Prabhu, Vinay Uday and Kahembwe, Emmanuel, Multimodal datasets: misogyny, pornography, and malignant stereotypes. arXiv (2021), arXiv preprint arXiv:2110.01963, 2021, Journal Article, PUBLISHED

  


Award Date
Distinguished Paper Award, 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2024
TIME 100 most influential persons in AI 2023 2023
Distinguished Paper Award, ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022
Lero Director"s Prize for PhD contribution, Lero, the SFI Research Centre for Software 2022
100 Brilliant Women in AI Ethics Hall of Fame Honoree, Women in AI Ethics" 2021
80 African Women Advancing Artificial Intelligence in Africa and Around the World 2021
Bright sparks of STEM: 19 influencers you need to know about, Silicon Republic 2020
VentureBeat AI Innovation Award in computer vision 2020
Lero Director"s Prize for Diversity and Inclusion, Lero, the SFI Research Centre for Software 2020
Best Paper Award, Black in AI workshop, Conference on Neural Information Processing Systems (NeurIPS) 2019
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.