🔬 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
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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
Listen to What They Say: Better Understand and Detect Online Misinformation with User Feedback
🔬 Research Summary by Hubert Etienne, a researcher in AI ethics, the former Global Generative AI Ethics Lead at Meta and the inventor of Computational philosophy. [Original paper by Hubert Etienne and Onur … [Read more...] about Listen to What They Say: Better Understand and Detect Online Misinformation with User Feedback
Conversational Swarm Intelligence (CSI) Enhances Groupwise Deliberation
🔬 Research Summary by Louis Rosenberg, PhD, Chief Scientist of Unanimous AI and a former professor at California State University. [Original paper by Louis Rosenberg, Gregg Willcox, Hans Schumann, and Ganesh … [Read more...] about Conversational Swarm Intelligence (CSI) Enhances Groupwise Deliberation
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making
🔬 Research Summary by Devansh Saxena, a Presidential Postdoctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. He studies sociotechnical practices of decision-making in the public … [Read more...] about Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making