Posts

Recently included in the Forbes 30 Under 30, Heidi designed Brown's first independent concentration in Game Design and Development.

The course tackles cybersecurity issues including deepfakes, copyright, privacy, national security and decision-making.

It focuses on transformorphic computing, a fundamentally new approach to automatically and correctly improving widely deployed systems without burdening their users and with strong guarantees about their behavior. 

In her solo paper, written when Kathi was a faculty member at Worcester Polytechnic Institute, she returns to and makes progress on Soloway’s Rainfall problem, often used to assess student programming skills in introductory courses. 

The ultimate goal is to produce new systems that enable practitioners to focus solely on creating and improving the accuracy of modern AI systems, without having to worry about details related to efficient execution and resource management.

Following a University report on AI, Brown leaders discuss aligning AI policy with academic excellence, safeguarding academic integrity, supporting faculty and students, and preserving critical thinking in the age of AI.

A new project (“Where are the data workers behind AI?”) from the Center for Technological Responsibility, Reimagination and Redesign is an investigative attempt to make the data annotation and labeling industry transparent.

 

 

In a new blog post, Emily Hong, who co-led the CNTR AISLE Legislation Lab with Dre Boyd-Weatherly, takes a moment to reflect on the lab’s journey of success, growth, and iteration thus far.

A recent Brown+Beyond event welcomed alums and friends to a discussion with two campus AI leaders, Michael Littman and Brenda Rubenstein.

Patrick was part of team White Space Explorer, which was awarded First Place Team. Lyndee was part of team 5-Star Formula, which was awarded Third Place Team.