Michael McLaughlin

Michael McLaughlin
Research Analyst
Information Technology and Innovation Foundation

Michael McLaughlin is a research analyst at the Information Technology and Innovation Foundation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.

Recent Publications

January 27, 2020

A close look at data from a new NIST report reveals that the best facial recognition algorithms in the world are highly accurate and have vanishingly small differences in their rates of false-positive or false-negative readings across demographic groups.

December 16, 2019

Policymakers should seek to maximize the benefits of Internet openness while maintaining carefully designed guardrails that reduce the Internet’s most clearly harmful uses.

December 4, 2019

While law enforcement needs tools to protect the public, requiring companies to provide access to encrypted consumer data would have the unintended consequence of putting vulnerable populations at risk without solving law enforcement’s most significant challenges in using digital evidence.

November 11, 2019

The UK currently has many advantages in developing and using AI, but as Michael McLaughlin writes for SC Magazine, it will fall behind if it doesn’t take the right steps to secure its AI leadership.

October 28, 2019

Growing animus toward “Big Tech” companies and generalized opposition to technological innovation engenders support for policies that are expressly designed to inhibit it. That is deeply problematic for future progress, prosperity, and competitiveness.

September 10, 2019

The California State Senate is considering a bill to make it illegal for law enforcement to use facial recognition technology in officer-worn body cameras. The bill, AB 1215, has passed the State Assembly. It should not pass the Senate because it is based on a number of fallacies concerning facial recognition technology and would undermine beneficial uses of it by law enforcement.

August 23, 2019

As Daniel Castro and Michael McLaughlin write for Irish Tech News, the European Union needs a plan to stay competitive in artificial intelligence after Brexit.

August 19, 2019

The United States leads the race for global advantage in artificial intelligence, at least for the time being, with China coming in second and the EU lagging behind. But China is poised to challenge U.S. dominance in coming years as it undertakes bold AI initiatives.

April 25, 2019

There is a clear lesson for consumers: do not use piracy apps. Do not download them and do not purchase streaming device boxes with these apps preloaded. They are untrustworthy.

April 10, 2019

Taking the bludgeon of anti-trust to tech companies will make cyber security worse, not better.

February 4, 2019

Focusing on mitigating speculative concerns about AI will limit its development and adoption. Policymakers should instead encourage innovation while crafting targeted solutions for specific problems if they occur.

January 23, 2019

Critics are wrong about the value of an individual’s data, as they confuse the value data in aggregate can generate with the market price buyers will pay for individual data. Unfortunately, too many lawmakers have begun crafting policies stemming from these misguided notions leading to proposals that are bad for consumers and the digital economy.

Recent Events and Presentations

September 10, 2019

ITIF's Center for Data Innovation hosted a keynote address by Michael Kratsios, Chief Technology Officer of the United States, and a panel discussion on the state of the global AI race and how policymakers can continue to support U.S. leadership in AI.