Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Outil
ToxiGen
Toxic language detection systems often falsely flag text that contains minority group mentions as toxic, as those groups are often the targets of online hate. Such over-reliance on spurious correlations also causes systems to struggle…
Projet
GODEL: Large-Scale Pre-training for Goal-Directed Dialog
This is the home page of project GODEL (Grounded Open Dialogue Language Model), a large open-source pre-trained language model for dialog. In contrast with its predecessor DialoGPT, GODEL leverages a new phase of grounded pretraining designed to…
Projet
Reducing AI’s Carbon Footprint
This project develops techniques that enable AI to use computing infrastructure more efficiently. The goals are to maintain predictive accuracy while reducing carbon emissions, whether embodied in manufactured hardware, or produced from electricity usage when…
Outil
Hybrid Hiring
We introduce our full experimental data as Hybrid Hiring, a large-scale dataset for studying human AI decision-making that is collected and evaluated on real-world candidates. Comprised of 38,400 human judgements and over 9,600 unique prediction…
Blog de recherche Microsoft
(De)ToxiGen: Leveraging large language models to build more robust hate speech detection tools
It’s a well-known challenge that large language models (LLMs)—growing in popularity thanks to their adaptability across a variety of applications—carry risks. Because they’re trained on large amounts of data from across the internet, they’re capable…
