🔬 Research Summary by Siobhan Mackenzie Hall, PhD student at the Oxford Neural Interfacing groups at the University of Oxford. Siobhan is also a member of the Oxford Artificial Intelligence Society, along with the … [Read more...] about A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
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A Hazard Analysis Framework for Code Synthesis Large Language Models
🔬 Research Summary by Heidy Khlaaf, an Engineering Director at Trail of Bits specializing in the evaluation, specification, and verification of complex or autonomous software implementations in safety-critical systems, … [Read more...] about A Hazard Analysis Framework for Code Synthesis Large Language Models
Regulating Artificial Intelligence: The EU AI Act – Part 1
✍️ Article by Avantika Bhandari, SJD. Her research areas cover indigenous knowledge and its protection, human rights, and intellectual property rights. Overview: The first-ever legal framework for AI … [Read more...] about Regulating Artificial Intelligence: The EU AI Act – Part 1
The Ethical Need for Watermarks in Machine-Generated Language
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by A. Grinbaum and L. Adomaitis] Overview: With the ability of large language models to reproduce text becoming more prominent … [Read more...] about The Ethical Need for Watermarks in Machine-Generated Language
Unstable Diffusion: Ethical challenges and some ways forward
✍️ Founder's Desk column by Abhishek Gupta, Founder and Principal Researcher at the Montreal AI Ethics Institute. In a potentially prescient comment from a few months ago, I had shared thoughts with Kyle Wiggers … [Read more...] about Unstable Diffusion: Ethical challenges and some ways forward