🔬 Research Summary by Grant Fergusson, an Equal Justice Works Fellow at the Electronic Privacy Information Center (EPIC), where he focuses on AI and automated decision-making systems within state and local … [Read more...] about Outsourced & Automated: How AI Companies Have Taken Over Government Decision-Making
Research Summaries
The Moral Machine Experiment on Large Language Models
🔬 Research Summary by Kazuhiro Takemoto, Professor at Kyushu Institute of Technology. [Original paper by Kazuhiro Takemoto] Overview: Large Language Models (LLMs) are increasingly integrated into autonomous … [Read more...] about The Moral Machine Experiment on Large Language Models
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
🔬 Research Summary by Jing Yao, a researcher at Microsoft Research Asia, working on AI value alignment, interpretability and societal AI. [Original paper by Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, and … [Read more...] about From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
Bias and Fairness in Large Language Models: A Survey
🔬 Research Summary by Isabel O. Gallegos, a Ph.D. student in Computer Science at Stanford University, researching algorithmic fairness to interrogate the role of artificial intelligence in equitable … [Read more...] about Bias and Fairness in Large Language Models: A Survey
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
🔬 Research Summary by Lauren Arthur, Marketing Director at Hazy, a leading synthetic data company. [Original paper by Georgi Ganev, Jason Costello, Jonathan Hardy, Will O’Brien, James Rea, Gareth Rees, and Lauren … [Read more...] about On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise