🔬 Research Summary by Josue Casco-Rodriguez and Sina Alemohammad. Josue is a 2nd-year PhD student at Rice University. He is interested in illuminating the intersection of machine learning and neuroscience from … [Read more...] about Self-Consuming Generative Models Go MAD
Ethical Implications
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts
🔬 Research Summary by Vishakha Agrawal, an independent researcher interested in human-AI collaboration, participatory AI and AI safety. [Original paper by Vishakha Agrawal, Serhiy Kandul, Markus Kneer, and Markus … [Read more...] about From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts
Adding Structure to AI Harm
🔬 Research Summary by Mia Hoffmann and Heather Frase. Dr. Heather Frase is a Senior Fellow at the Center for Security and Emerging Technology, where she leads the line of research on AI Assessment. Together … [Read more...] about Adding Structure to AI Harm
On the Creativity of Large Language Models
🔬 Research Summary by Giorgio Franceschelli, a second-year Ph.D. student at the University of Bologna working on Generative Artificial Intelligence, Reinforcement Learning, and creativity. [Original paper by … [Read more...] about On the Creativity of Large Language Models
A Systematic Review of Ethical Concerns with Voice Assistants
🔬 Research Summary by William Seymour, a lecturer in computer science at King’s College London, specializing in AI privacy, security, and ethics. [Original paper by William Seymour, Xiao Zhan, Mark Coté, and Jose … [Read more...] about A Systematic Review of Ethical Concerns with Voice Assistants