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新闻报道 | 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.
Microsoft Research to present latest findings on fairness in socio-technical systems at FAT* 2019
Researchers from Microsoft Research will present a series of studies and insights relating to fairness in machine learning systems and allocations at the FAT* Conference—the new flagship conference for fairness, accountability, and transparency in socio-technical systems—to be held from January…
| Miro Dudík, John Langford, Hanna Wallach, 和 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?…
Microsoft Research Montreal further bolsters its research force this month, welcoming Fernando Diaz to the Montreal FATE (Fairness, Accountability, Transparency and Ethics in AI) research group as Principal Researcher. Diaz, whose research area is the design of information access systems,…
Episode 14, February 28, 2018 – Today, Dr. Crawford talks about both the promises and the problems of AI; why— when it comes to data – bigger isn’t necessarily better; and how – even in an era of increasingly complex…
| Hanna Wallach
Posted by Microsoft Research Machine learning and big data are certainly hot topics that emerged within the tech community in 2014. But what are the real-world implications for how we interpret what happens inside the data centers that churn through…