News & Events

Upcoming Events

CICS Professor Erik Learned-Miller to present at AI and ML Seminar

Erik Learned-Miller, College of Information and Computer Sciences professor and co-creator of Labeled Faces in the Wild, will be a presenter at the NEREN (North East Research and Education Network) seminar “Bridging the Gap: AI and Machine Learning” on Friday, October 4, 9:30 – 2:15, Gateway City Arts Center, Holyoke. This event is part of a series of seminars devoted to proposing and advancing ideas for regional collaboration in research computing and networking.

Registration is required. Visit the registration site for more information.

Recent News

Special Issue of IEEE Data Engineering on EQUATE Topics

The latest issue of IEEE Data Engineering is a special issue on “Fairness, Diversity, and Transparency in Data Systems.” Alexandra Meliou, CICS professor and Special Issue Editor, writes, “In this issue, we bring together an exciting collection of recent and ongoing work that focuses on the problems of fairness, diversity, and transparency in data-driven systems. This collection highlights the central role that the data management research community can play in detecting, informing, and mitigating the effects of bias, skew, and misuse of data, and aims to create bridges with work in related communities.” Read more …

10 Methods of Inclusive Machine Learning

HackHer413 founder Katie House writes about how to make machine learning work fro good, not for evil. Read more …

Erik Learned-Miller helped create one of the most important face datasets in the world. Now he wants to regulate his creation.

Erik Learned-Miller is one reason we talk about facial recognition at all.
In 2007, years before the current A.I. boom made “deep learning” and “neural networks” common phrases in Silicon Valley, Learned-Miller and three colleagues at the University of Massachusetts Amherst released a dataset of faces titled Labelled Faces in the Wild. Read more …

Doctoral Student Emma Strubell’s Research on AI’s Carbon Footprint Highlighted

CICS doctoral student Emma Strubell’s paper, Energy and Policy Considerations for Deep Learning in NLP, will be presented at the annual meeting of the Association for Computer Linguistics in Florence, Italy in July. Her work was recently highlighted in New Scientist and Popular Mechanics.

Brun and Meliou Receive Gift from Oracle to Detect Software Bias

UMass College of Information and Computer Sciences (CICS) professors Yuriy Brun and Alexandra Meliou have received a $100,000 gift from Oracle Labs to support their work on software fairness, focusing on testing software for bias using an automated test generation technique. Read more …

Doctoral Student Rico Angell Granted NSF Graduate Research Fellowship

College of Information and Computer Sciences (CICS) doctoral student Rico Angell has recently been selected to receive a Graduate Research Fellowship by the National Science Foundation. “Modern software, especially software that learns from data, often exhibit biases,” says CICS Associate Professor Yuriy Brun, Angell’s doctoral advisor. “Rico’s research focuses on understanding when and why such software exhibits bias.” Read more …

UMass Amherst Computer Scientists Receive Grant to Improve Software Fairness

Computer science researchers Alexandra Meliou and Yuriy Brun at the University of Massachusetts Amherst have received a four-year, $1.05 million grant from the National Science Foundation to study how software systems can exhibit bias and how software engineers can develop fairer, more equitable systems. Read more …