Interfaces, Affordances, and Explanations for Machine Learning Systems


  • PETER NORVIG, Research Director at Google, Inc.
  • Wednesday, Oct. 19, 6:30pm – 9pm
  • Harvard University, Northwest Building Room B-103, 52 Oxford St., Cambridge

Please register. It helps us and our hosts plan.


In recent years we have seen an increase in systems that use machine learning–to recognize speech and images, to drive cars, to play Go, etc. How should engineers and end users interact with these systems? This talk explores some possibilities.

PETER NORVIG, Research Director at Google, Inc.

Peter Norvig is a Director of Research at Google; previously he directed Google’s core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes. He is a Fellow of AAAI, ACM, the California Academy of Science and the American Academy of Arts & Sciences.

Evening Schedule

  • 6:30 – 7:00 Networking over pizza and beverages
  • 7:00 – 8:30 Meeting
  • 8:30 – 9:00 CHI Dessert and more networking!


Harvard University School of Engineering is hosting us.

Harvard School of Engineering logo

Google, Inc. is providing refreshments,

Google Logo 2015


as is ClearPoint UX Staffing Consultants:



Vitamin T is sponsoring dessert.

Getting there

Enter 52 Oxford St., Cambridge, at the ground floor and follow BostonCHI signs.  Arrive by foot from the Harvard Square T station; instructions for advance purchase of parking passes will be emailed to attendees.