The Issues

  • Competition Policy and Antitrust
  • Innovation and Economic Growth
  • Intellectual Property
  • Interoperability
  • Networks, the Internet, and Cloud Computing
  • Privacy and Security

TAP Highlights

TAP's Fall 2017 Newsletter Now Available!

With the advances being made in artificial intelligence (AI) and machine learning (ML), there is a lot of discussion around self-driving cars, online assistants, and the future of work. This fall, the TAP scholars have been focusing on many of the real-world implications of AI and related technologies.

How to Design User-Friendly Privacy Notices

Most privacy notices are too long and complex. In “A Design Space for Effective Privacy Notices,” computer scientist Lorrie Cranor and her coauthors describe best practices for privacy policies and offer a “design space” to guide developers through the design process. The best privacy policies will offer information in multiple layers, and give users real control of their information.

Uber Drivers: Independent Contractors or Employees?

If Uber is a transportation company that employs its drivers, is Airbnb a hotel chain? Uber says they are a tech company with a platform for business opportunities; drivers claim that Uber acts like an employer and seek employment benefits. Professor Omri Ben-Shahar explores the impact of this conflict on the sharing economy.

A New Method for Predicting Click-Through Rates for Online Ads

Online ads are purchased in auctions. If auction participants misestimate the likelihood that users will click on an ad, the wrong ad might be displayed. In “Loss Functions for Predicted Click-Through Rates in Auctions for Online Advertising,” economists Preston McAfee and Patrick Hummel describe a more accurate method for representing losses from errors in estimating click-through rates.

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