Microsoft at FAccT 2024: Advancing responsible AI research and practice
From studying how to identify gender bias in Hindi to uncovering AI-related risks for workers, Microsoft is making key contributions towards advancing the state of the art in responsible AI research. Check out their work at ACM FAccT 2024.
Adam Fourney discusses the effectiveness of using multiple agents, working together, to complete complex multi-step tasks. He will showcase their capability to outperform previous single-agent solutions on benchmarks like GAIA, utilizing customizable arrangements of agents that collaborate, reason, and utilize…
Tian Xie introduces MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.
Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards.
Daniela Massiceti delves into the transformative potential of multimodal models such as CLIP for assistive technologies. Specifically focusing on the blind/low-vision community, the talk explores the current distance from realizing this potential and the advancements needed to bridge this gap.
Microsoft researchers discuss the challenges and opportunities of making AI more inclusive and impactful for everyone—from data that represents a broader range of communities and cultures to novel use cases for AI that are globally relevant.
Jacki O'Neill discusses the importance of creating globally equitable generative AI. She addresses the technical and sociotechnical challenges that must be tackled to positively transform work futures worldwide.
Research Forum Brief | June 2024
| Jiang Bian, Adam Fourney, Tanuja Ganu, Daniela Massiceti, Jacki O'Neill, Sunayana Sitaram, and Tian Xie
In this forum episode, researchers dive into the importance of globally inclusive and equitable AI, share updates on AutoGen and MatterGen, explore novel use cases for AI, and more.
In the news | Nature
Superfast Microsoft AI is first to predict air pollution for the whole world
An artificial intelligence (AI) model developed by Microsoft can accurately forecast weather and air pollution for the whole world — and it does it in less than a minute. The model, called Aurora, is one of a slew of AI…