The Issues

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

TAP Highlights

Robotics Is Transforming Technology – Can Laws Keep Up?

During last week’s We Robot conference, TAP scholars shared papers about: what remedies the law should provide once a robot has caused harm, the role of the First Amendment regarding robot speech, tricking computers to make mistakes, and what machine learning diagnostics mean for the future of medical service.

Can Privacy and Tech Design Coexist?

"Digital technologies are still just tools created by people. And like other tools, companies can use them to deceive, abuse, manipulate, and harm us. Until lawmakers take that power seriously, our privacy rules will remain incomplete." - Woodrow Hartzog discussing his new book, Privacy’s Blueprint, with Daniel Solove

When Do the Computer Fraud Laws Apply to Tricking Robots?

“Adversarial machine learning refers to the ways people can cause machine learning systems to make predictable errors by exploiting system blind spots.” The UW Tech Policy Lab explains why our current laws are ambiguous when it comes to identifying and prosecuting liability with hacking trickery aimed at robots.

CMU’s Lorrie Cranor Receives IAPP’s 2018 Leadership Award

Professor Lorrie Cranor has been recognized as a leader in the privacy field by the International Association of Privacy Professionals. One of her first stints in privacy was working on the WWW Consortium’s Platform for Privacy Preferences project in the late 1990s. “I joined as one of the only engineers,” she says.

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