Machine Learning Researchers Try to Improve Working Conditions for Amazon’s Mechanical Turk Workers

As a way of giving back to the platform he uses for research, Chris Callison-Burch developed a Google Chrome plug-in that helps Turk workers pick out better-paying tasks. Callison-Burch and collaborators also analyzed data they gathered from the plug-in’s users to reveal trends in Turk worker earnings, published in a recent paper.

• Computer and Information Science

G.D.P.R., a New Privacy Law, Makes Europe World’s Leading Tech Watchdog

“The E.U. is more advanced than the U.S. in protecting consumer privacy, and what happens there could be a harbinger of the future,” said Warren Center Director Michael Kearns in a New York Times article.

• Computer and Information Science

Shivani Agarwal: Looking at Machine Learning from All Angles

It is now an everyday occurrence to see customized recommendations while shopping online, and uncannily personalized sidebar ads while browsing a website. Both of these marketing tools are powered by machine learning, a field of study that extends to many other parts of society as well.

• Computer and Information Science

Penn’s new CIS course will teach students technical skills to combat ethical breaches

Michael Kearns and Ani Nenkova have been developing a course, tentatively titled “Science of Data Ethics,” that they hope to offer to undergraduate students in the spring of the 2018-2019 academic year. The class will focus on ethical issues such as privacy and discrimination in machine learning.

• Computer and Information Science

The “FATE” of Technology: Fairness, Accountability, Transparency and Ethics

On October 17th, 2018, we gathered to celebrate five years of the Warren Center with a symposium on "The "FATE" of Technology: Fairness, Accountability, Transparency and Ethics." View recordings and images from the event.

Warren Center Affiliate Profile- Bo Waggoner

What do website ads, medical treatment options, weather predictions, and qualifying for a loan all have in common? Find out in this profile of Warren Center Postdoctoral Fellow Bo Waggoner.

• Computer and Information Science