Mathematician Data Scientist Author Speaker
Noah Giansiracusa (PhD in math from Brown University) is a tenured associate professor of mathematics and data science at Bentley University, a business school near Boston. His research interests range from algebraic geometry to machine learning to empirical legal studies. After publishing the book How Algorithms Create and Prevent Fake News in July 2021, Noah has gotten more involved in public writing and policy discussions concerning data-driven algorithms and their role in society. He's written op-eds for Barron's, Boston Globe, Wired, Slate, and Fast Company; was interviewed in Slate, TechCrunch, Tech Policy Press; and was quoted in Washington Post, Financial Times, Forbes, FiveThirtyEight, U.S. News, Agence France-Presse (AFP), and New Delhi TV. Noah is currently working on a second book, Robin Hood Math: How to Fight Back When the World Treats You Like a Number, with a Foreword by Nobel Prize-winning economist Paul Romer.
Boston Globe: The Moral Failing of `Effective Altruism', with Emily Frey, Nov 22, 2022.
Slate: The Real Threat from AI Isn't Superintelligence. It's Gullibility, Oct 11, 2022.
Barron's: What Was Lost in the Debate about Sentient AI, with Paul Romer, Aug 7, 2022.
Tech Policy Press: In the Name of Openness, May 18, 2022.
Boston Globe: Facebook Could Make Its Algorithms Truly Work for You, Mar 24, 2022.
Slate: The Destabilizing Effects of Even Low-Quality Deepfakes, Mar 23, 2022.
Slate: Google Needs to Defund Misinformation, Nov 18, 2021.
Wired: Facebook Uses Deceptive Math To Hide Its Hate Speech Problem, Oct 15, 2021.
Fast Company: How internet pioneer Vint Cerf illuminated Google’s misinformation mess, Sep 24, 2021.
Markup newsletter "Hello World" with Julia Angwin: Shopping for an Algorithm, May 7, 2022.
Slate podcast "What Next: TBD" with Seth Stevenson: Why the Zelensky Deepfake Failed, Mar 25, 2022.
Newsy (online news) video segment with Tyler Adkisson: Protecting Personal Data On Social Media, Nov 19, 2021.
TechCrunch with Danny Crichton: A Mathematician Walks Into a Bar (of Disinformation), Aug 20, 2021.
R Views (RStudio blog) with Joseph Rickert: A Mathematician’s Perspective on Topological Data Analysis (ranked top post for the year), Nov 14, 2018.
Bentley University: The Mathematics of Misinformation, Aug 19, 2021.
Bentley University: On the Case, Summer 2020.
Swarthmore college: NSF Grant Allows Mathematician Noah Giansiracusa to Study the Poetry of Pure Math, Sep 17, 2018.
New Delhi TV: Twitter Still Hasn’t Stopped Elon Musk Impersonators From Flourishing, Scamming, Apr 11, 2022.
New Delhi TV: Verified Facebook Page Impersonating Elon Musk Surfaces, Dec 23, 2021.
Agence France-Presse (AFP): World weighs laws to rein in mighty algorithms, Nov 19, 2021.
FiveThirtyEight: Facebook’s Algorithm Is Broken. We Collected Some Suggestions On How To Fix It. Nov 16, 2021.
Washington Post: Five points for anger, one for a ‘like’: How Facebook’s formula fostered rage and misinformation, Oct 26, 2021.
Financial Times: Deepfakes threaten to inflate the ‘liar’s dividend’, Jul 29, 2021.
Medium - The Startup: Can Artificial Intelligence Write Better Than You?, Dec 11, 2020.
Forbes: Turing Test At 70: Still Relevant For AI? Nov 27, 2020.
US News: What Can You Do With a Math Degree?, Aug 3, 2020.
Forbes: Reinforcement Learning: The Next Big Thing For Artificial Intelligence? Jun 5, 2020.
Forbes: AI Companies That Are Combating The COVID-19 Pandemic, Mar 28, 2020.
Forbes: Deep Learning: What You Need To Know, Mar 27, 2020.
Forbes: Artificial Intelligence: Can It Help Make Hollywood Blockbusters?, Jan 24, 2020.
Upcoming/Recent Speaking Engagements
AMS Advocacy Training Session at the JMM in Boston, on a panel with Congressman Jerry McNerney (Jan 5, 2023)
Malta conference on Young People and Information (Nov 10-11)
Keynote address at conference on Trust and Disinformation at Stuttgart, Germany (Sep 1-2, 2022)
"Separating Fact From Fiction" conference at Copper Mountain Community College (Apr 30, 2022)
Open Data Science Conference in Boston, tutorial on deepfakes (Apr 19, 2022)
Harvard University Math Department seminar on The Mathematics of Misinformation (Apr 6, 2022)
Book discussion event with Columbia University's Anya Schiffrin -- video here (Mar 30, 2022)
Media literacy curriculum development activities at Endicott College (Mar 25, 2022)
Guest appearance in course Technology, Media, & Democracy team taught by Mor Naaman (Cornell Tech), Justin Hendrix (NYU), David Carroll (The New School), Emily Bell (Columbia), Luke DuBois (NYU), Mark Hansen (Columbia), Jeremy Caplan (CUNY) (Feb 12, 2022)
San Francisco Bar Association Barristers Panel on Algorithmic Bias (Jan 11, 2022)
Open Data Science Conference, Responsible AI track: Workshop on Detecting Deepfakes (Nov 17, 2021)
Bentley Alumni association: Fake news: The Math Behind the Myths (Oct 20, 2021)
Systematica Investments company off-site, organized by Leda Braga (Oct 2, 2021)
To inquire about booking me, please email: email@example.com
"It's a joy to read a book by a mathematician who knows how to write, even when it tells the discouraging tale of a business model – targeted digital advertising – that is hijacking the tech sector and destroying its soul. With no hype, little jargon, and precise explanations, the author describes both the conquests the ad-tech empire made by deploying more powerful algorithms and the preparations rebels are making to fight algorithms with algorithms. There is no better guide to the strategies and stakes of this battle for the future."
—Paul Romer, Nobel Laureate, University Professor in Economics at NYU, and former Chief Economist at the World Bank
"By explaining the flaws and foibles of everything from Google search to QAnon – and by providing level-headed evaluations of efforts to fix them – Noah Giansiracusa offers the perfect starting point for anyone entering the maze of modern digital media."
—Jonathan Rauch, senior fellow at the Brookings Institution and contributing editor of The Atlantic
"Noah’s book brings the refreshingly impartial, data-driven content one gets from a lucid mathematics professor. The scale of reach enabled by technology means algorithms are the only viable operational approach. Mastering their limitations and moderating the commercial interests they serve is the responsibility of all those who work in data science. The effects of algorithms on the fabric of society could be comparable to carbon emissions on global warming. We have a chance to act early. Highly recommended reading."
—Leda Braga ("the most powerful woman in hedge funds"), founder and CEO of Systematica Investments
"You can read a hundred writers bemoaning the pollution of the infosphere; Noah Giansiracusa is one of the few who dares takes you behind the curtain to see the gears and guts of the fake news machine, and the competing algorithms that aim to counterbalance it."
—Jordan Ellenberg, bestselling author of How Not To Be Wrong and Shape and John D. MacArthur Professor of Mathematics, University of Wisconsin
"A wonderful book! Very approachable, very informative, a very important contribution to understanding the interaction of computing and misinformation."
—Grady Booch, Chief Scientist for Software Engineering at IBM Research
"The issues surrounding AI and misinformation are some of the most complicated – and important – we face. Giansiracusa helps us understand and confront them."
—Jonathan Zittrain, George Bemis Professor of International Law and Professor of Computer Science, Harvard University
"Imagine Genghis Khan with an AK-47 – that's what cutting-edge technology and computer algorithms have put in the hands of the next generation of liars, tyrants, and autocrats. Through the use of social media bots, deep fakes, and computer-assisted writing, fake news is now much more threatening and insidious than the "yellow journalism" of old; through the weaponization of technology, you won't even know that it's happening. Numerous TV pundits decry the assault on truth these days, but how many really understand its deep roots in information technology? To fight back, we not only have to go after the liars, but also the truth-assault weapons they have at their fingertips. Read this book to understand just how scary things have gotten over the last decade, but also how those of us who want to defend truth, facts, and evidence can employ the tools of technology to fight back."
—Lee McIntyre, author of Post-Truth
"Misinformation and deepfakes are the unique social-technological challenges of the era of social media and deep learning that every information consumer should be aware of. The book by Noah Giansiracusa provides a comprehensive yet concise account of this complex multi-facet problem, from its very cause to its impact and potential solutions. The book strikes a superb balance between readability and accuracy in the description of the core technologies."
—Siwei Lyu, SUNY Empire Innovation Professor of Computer Science and Engineering, University at Buffalo.
"AI is ushering in breakthroughs in just about every industry. Yet there is a dark side: fake news. So what can be done? Well, Noah Giansiracusa’s book is the answer. He provides an engaging look at fake news – along with the cutting-edge technologies like GPT-3 and deepfake GANs – and shows the various tools that can fight it. This book should be a priority for anyone looking at AI."
—Tom Taulli, author of Artificial Intelligence Basics: A Non-Technical Introduction
Review-essay in the Los Angeles Review of Books by Pulitzer Prize finalist Nicholas Carr on Jonas Bendiksen's "Book of Veles" and the deepfakes chapter of my book.
Review for the Math Association for America (MAA) by Bill Wood
Short review in the Notices of the American Mathematical Society (AMS) by Katelynn Kochalski
Recommended summer reading by the MAA