The Issues

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

TAP Highlights

Is It Possible to Have More Innovation and More Equality?

“…our main thesis is that once you understand that both technological change itself and its consequences are both highly uncertain, that shapes how you should think about constructing policies that respect that uncertainty.” – Joshua Gans, Rotman School of Management

Commercialization of Machine Learning

“Advances in computer technology in the last decade opened up the potential for big gains in applications of neural networks aimed at recognizing and diagnosing visual images. Many startups are making decisions about how to deploy such software, and what products to develop next.” – Harvard business professor Shane Greenstein

Can Algorithms that Automate Decisions Be Held Accountable?

“A Model Algorithmic Impact Assessment process should deliberately widen the lens from algorithms as a technology in isolation, to algorithms as systems embedded in human systems— both those that design the technology, and those that use it.” – Margot Kaminski, University of Colorado Law,  and Gianclaudio Malgieri, VUB

What Is Contextual Integrity?

Consider this: a smartphone user may be okay with their location data being sent to a website when looking for restaurant suggestions; but they may not be okay if that data is also used for advertising. Contextual integrity is a new model for privacy that focuses on societal norms and the appropriateness of information flows.

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New TAP Blog Posts

Innovation + Equality

Posted on November 25, 2019
thumbnail Joshua Gans, Rotman School of Management, introduces his new book, co-authored with Andrew Leigh. Innovation + Equality: How to create a future that is more Star Trek than Terminator examines the relationship between having more equality and more innovation.

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