I School Lectures

As AI and ML shape technology, how do we ensure that products are designed by and for people?

Dr. Andrew L. Brooks is the Chief Data Scientist at the National Geospatial-Intelligence Agency

The One Laptop per Child project failed. So why do the same utopian visions that inspired it still motivate other projects to “disrupt” education and development?

How good data models facilitate optimization and generalization in machine learning.

Massive impersonal unsolicited email campaigns might actually backfire.

Jen King explores how people think about information privacy in online settings.

The EU’s new General Data Protection Regulation (GDPR) comes big responsibilities for organizations.

Sendhil Mullainathan discusses how machine learning can improve our understanding of the health system itself.

Making it easy for individuals and teams to manage, analyze, and draw insights from large datasets.

Niloufar Salehi introduces social computing systems to support collective action.

We imagine a future in which computers understand a broad range of human behaviors, but today’s systems fall short of these visions.

How can social media platforms better foster well-being when people experience distress and stigma?

How technology design can help us understand different social phenomena.

A linguistic analysis of policy body-camera data from traffic stops reveals race-based differences. How can the findings improve police-community relations?

Dan Gillick proposes a new kind of internet search engine based on neural networks.

An audit study of the 2016 election confirms ethnic bias by local election officials.

With facts and truth increasingly under assault, sifting through the visual information and misinformation is more critical than ever.