AI Frontiers
News & features
Understanding social biases through the text-to-image generation lens
| Ranjita Naik and Besmira Nushi
Gender, race, and age disparities in AI-generated images persist. This AIES 2023 study on text-to-image models shows that even basic prompts can lead to underrepresentation, calling for responsible bias mitigation strategies.
Frontiers of multimodal learning: A responsible AI approach
New evaluation methods and a commitment to continual improvement are musts if we’re to build multimodal AI systems that advance human goals. Learn about cutting-edge research into the responsible development and use of multimodal AI at Microsoft.
In the news | ICML 2023
Tutorial: Discovering Agent-Centric Latent Dynamics in Theory and in Practice
A latent state can enable vastly better planning, exploration, and credit assignment by keeping task-relevant information while discarding distractions and irrelevant details. For example, in video games, there is a game-engine state which has all relevant information for the underlying…
AI Frontiers: Models and Systems with Ece Kamar
| Ashley Llorens and Ece Kamar
The third episode of AI Frontiers features Ece Kamar, deputy lab director at Microsoft Research Redmond. Kamar draws on decades of experience in AI research and an opportunity she and Microsoft colleagues had to evaluate and experiment with GPT-4 prior…
AI Frontiers: The Physics of AI with Sébastien Bubeck
| Sébastien Bubeck and Ashley Llorens
The first episode of the new Microsoft Research Podcast series, AI Frontiers, features Sébastien Bubeck, who leads the Machine Learning Foundations group at Microsoft Research in Redmond. He and his collaborators conducted an extensive evaluation of GPT-4 while it was…