In the news | 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…
Awards | Computer History Museum
Leslie Lamport honored as Computer History Museum Fellow
The Computer History Museum (CHM), the world’s leading institution exploring the history of computing and its transformational impact on society, honored Leslie Lamport, along with 3 others, as a 2019 Fellow Award honoree for his contributions to the analysis and…
Residents at Work
Interview with Anna-Lena Popkes, AI Resident Tell us a bit about your background. I got interested in AI quite late. I started studying cognitive science in my undergraduate degree and planned to focus on neuroscience and research in this field.…
In the news | Microsoft Industry Blogs
HIMSS 2019 is over: Join Microsoft on the path to a reimagined healthcare future
HIMSS 2019 has come and gone, but for the about 45,000 health and technology professionals who attended, its impact will be felt for a long time. We came to HIMSS to talk about how Microsoft for Healthcare will help the…
In the news | Microsoft Industry Blog
HIMSS 2019 is over: Join Microsoft on the path to a reimagined healthcare future
HIMSS 2019 has come and gone, but for the about 45,000 health and technology professionals who attended, its impact will be felt for a long time. We came to HIMSS to talk about how Microsoft for Healthcare will help the health industry enable personalized…
We have teamed up with our partners in Bing to apply the best machine reading technologies in Microsoft to process the entire web index and produce Microsoft Academic Graph (MAG) that has a fresh, accurate, and comprehensive coverage of the…
Microsoft Research Podcast: Competing in the X Games of machine learning with Dr. Manik Varma
Episode 63 | February 13, 2019 If every question in life could be answered by choosing from just a few options, machine learning would be pretty simple, and life for machine learning researchers would be pretty sweet. Unfortunately, in…
What are the biases in my data?
| Adam Tauman Kalai
One challenge with AI algorithmic fairness is that one usually has to know the potential group(s) that an algorithm might discriminate against in the first place. However, in joint work with Maria De-Arteaga, Nathaniel Swinger, Tom Heffernan, and Max Leiserson,…
Competing in the X Games of machine learning with Dr. Manik Varma
Episode 63, February 13, 2019 - Dr. Varma tells us all about extreme classification (including where in the world you might actually run into 10 or 100 million options), reveals how his Parabel and Slice algorithms are making high quality…