Hanna Wallach
Vice President and Distinguished Scientist
Nouvelles et reportages
Ideas: Community building, machine learning, and the future of AI
| Jenn Wortman Vaughan et Hanna Wallach
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work in responsible AI.
Research Focus: Week of May 13, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance in generating text similar to…
AI Frontiers: Measuring and mitigating harms with Hanna Wallach
| Hanna Wallach et Ashley Llorens
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come. In this Microsoft Research Podcast series, AI scientist and…
Research at Microsoft 2020: Addressing the present while looking to the future
Microsoft researchers pursue the big questions about what the world will be like in the future and the role technology will play. Not only do they take on the responsibility of exploring the long-term vision of their research, but they…
Dans l’actualité | VentureBeat
Microsoft researchers say NLP bias studies must consider role of social hierarchies like racism
As the recently released GPT-3 and several recent studies demonstrate, racial bias, as well as bias based on gender, occupation, and religion, can be found in popular NLP language models. But a team of AI researchers wants the NLP bias…
Dans l’actualité | Microsoft Research Webinar Series
Machine Learning and Fairness Webinar
In this webinar led by Microsoft researchers Jenn Wortman Vaughan and Hanna Wallach, 15-year veterans of the machine learning field, you'll learn how to make detecting and mitigating biases a first-order priority in your development and deployment of ML systems.
Dans l’actualité | TWiML
Fairness in Machine Learning with Hanna Wallach
Today we’re joined by Hanna Wallach, a Principal Researcher at Microsoft Research. Hanna and I really dig into how bias and a lack of interpretability and transparency show up across machine learning. We discuss the role that human biases, even…
Machine Learning for fair decisions
| Miro Dudík, John Langford, Hanna Wallach, et Alekh Agarwal
Over the past decade, machine learning systems have begun to play a key role in many high-stakes decisions: Who is interviewed for a job? Who is approved for a bank loan? Who receives parole? Who is admitted to a school?…
Dans l’actualité | Microsoft Research Blog
Machine Learning for fair decisions
New research focuses on the challenges of machine learning biases, and provides a provably and empirically sound method for turning any common classifier into a 'fair' classifier according to any of a wide range of fairness definitions.