🔬 Research Summary by Anthony Corso, Ph.D., Executive Director of the Stanford Center for AI Safety and studies the use of AI in high-stakes settings such as transportation and sustainability. [Original paper by … [Read more...] about A Holistic Assessment of the Reliability of Machine Learning Systems
Research Summaries
Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens on Algorithmic Audits
🔬 Research Summary by Bogdana Rakova, a Senior Trustworthy AI fellow at Mozilla Foundation, previously a research manager at a Responsible AI team in consulting, leading algorithmic auditing projects and working closely … [Read more...] about Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens on Algorithmic Audits
Never trust, always verify: a roadmap for Trustworthy AI?
🔬 Research Summary by Lionel Tidjon, PhD is the Chief scientist & Founder at CertKOR AI and Lecturer at Polytechnique Montreal. [Original paper by Lionel Tidjon and Foutse Khomh] Overview: Bringing AI … [Read more...] about Never trust, always verify: a roadmap for Trustworthy AI?
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
🔬 Research Summary by David Zhang, a PhD Candidate and Research Engineer at CSIRO's Data61, and his research focuses on understanding the societal implications of AI technology. [Original paper by Dawen Zhang, … [Read more...] about Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
The Ethical Implications of Generative Audio Models: A Systematic Literature Review
🔬 Research Summary by Julia Barnett, a PhD student in Technology and Social Behavior, a dual PhD program in computer science and communications at Northwestern University, whose research aims at reducing the … [Read more...] about The Ethical Implications of Generative Audio Models: A Systematic Literature Review