The European AI Liability Directives
The European AI Liability Directives: Critique of a Half-Hearted Approach and Lessons for the Future This article, authored by Philipp Hacker, Chair of Law and Ethics of the Digital Society @ European University Viadriana, has been recently published in Computer Law & Security Review (51). Abstract: The optimal liability framework for AI systems remains an unsolved problem across the […]
G7 Hiroshima Process on Generative Artificial Intelligence
G7 Hiroshima Process on Generative Artificial Intelligence OECD has recently published a report titled “G7 Hiroshima Process on Generative AI: Towards a G7 Common Understanding on Generative AI”. In May 2023, G7 Leaders identified topics for discussion in the Hiroshima Artificial Intelligence (AI) Process and called for an early stocktaking of opportunities and challenges related […]
Global AI Legislation Tracker
Global AI Legislation Tracker To learn more about the legislation tracker, please click on this link.
The Presidio Recommendations on Responsible Generative AI
The Presidio Recommendations on Responsible Generative AI World Economic Forum and AI Commons have jointly published a report on Responsible Generative AI. Generative artificial intelligence (AI) has the potential to transform industries and society by boosting innovation and empowering individuals across diverse fields, from arts to scientific research. To ensure a positive future, it is […]
Everything. Everywhere. All at Once: AI Policy When Congress returns
Everything. Everywhere. All at Once: AI Policy When Congress returns Marc Rotenburg, the Executive Director and Founder of the Center for AI and Digital Policy, writes about what is in store for AI policy when US congress returns in September. To read the full article, please click on this link.
Exploring Explainable AI for the Arts
Exploring Explainable AI for the Arts This article co-authored by Nick Bryan-Kinns, Berker Banar, Corey Ford, Courtney N. Reed, Yixiao Zhang, Simon Colton and Jack Armitage asks the crucial question about how can we maintain transparency in the music industry about music generated by AI? Abstract: Explainable AI has the potential to support more interactive […]
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model This article co-authored by Alexandra Sasha Luccioni, Sylvain Viguier, and Anne-Laure Ligozat estimates that BLOOM, a Large Language Model, with 176 billion parameters, emits 24.7 tonnes of CO2 during a single training. Abstract: Progress in machine learning (ML) comes with a cost to the […]
Tech experts are starting to doubt that ChatGPT and AI ‘hallucinations’ will ever go away
Tech experts are starting to doubt that ChatGPT and AI ‘hallucinations’ will ever go away This article written by Matt O’Brian and the Associated Press argues that the problem of AI ‘hallucinations’ is not fixable. Anthropic, ChatGPT-maker OpenAI and other major developers of AI systems known as large language models say they’re working to make […]
Eight Months Pregnant and Arrested After False Facial Recognition Match
Eight Months Pregnant and Arrested After False Facial Recognition Match This New York Times article presents yet another dangerous example of bias in AI development and deployment, and the harmful consequences pf unregulated use of such systems for policing. Please click on this link to read the full article.
Towards Generalist Biomedical AI
Towards Generalist Biomedical AI Researchers from Google DeepMind have released Med-PaLM M, which is a large multimodal generative model that flexibly encodes and interprets biomedical data including clinical language, imaging, and genomics. Abstract. Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly […]