✍️ Original article by Yacine Jernite, Suhas Pai, Giada Pistilli, and Margaret Mitchell from HuggingFace. Yacine Jernite is a researcher at Hugging Face working on exploring the social and legal context of … [Read more...] about Social Context of LLMs – the BigScience Approach, Part 3: Data Governance and Representation
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Social Context of LLMs – the BigScience Approach, Part 2: Project Ethical and Legal Grounding
✍️ Original article by Yacine Jernite, Giada Pistilli, and Carlos Muñoz Ferrandis from HuggingFace. Yacine Jernite is a researcher at Hugging Face working on exploring the social and legal context of Machine … [Read more...] about Social Context of LLMs – the BigScience Approach, Part 2: Project Ethical and Legal Grounding
Fair Interpretable Representation Learning with Correction Vectors
🔬 Research Summary by Mattia Cerrato and Marius Köppel Marius Köppel is a PhD. student at the Johannes Gutenberg-Universität Mainz working on FPGA based data acquisition systems, lepton flavor violation and … [Read more...] about Fair Interpretable Representation Learning with Correction Vectors
Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country
🔬 Research Summary by Ana Valdivia, Cari Hyde-Vaamonde, Julián GarcĂa-Marcos. Ana Valdivia is a Research Associate in Artificial Intelligence at King’s College London (Department of War Studies - ERC Security … [Read more...] about Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country
When AI Ethics Goes Astray: A Case Study of Autonomous Vehicles
🔬 Research Summary by Eryn Rigley, a PhD research student at University of Southampton, specialising in the intersection of environmental and AI ethics, as well as defence & security AI ethics. [Original … [Read more...] about When AI Ethics Goes Astray: A Case Study of Autonomous Vehicles