Publications

Recent Publications

• Evan Selinger, Brenda Leong, 1/11/2024, “Getting AI ready for the real world takes
  a terrible human toll,” Boston Globe, Ideas Section.

• NPR, “Here and Now,” with Robyn Young, January 2024, “AI red teams see the internet’s worst so we don’t have to,” with Brenda Leong and Evan Selinger

• AI vs. privacy: How to reconcile the need for sensitive data with the principle of minimization

• Third-party liability and product liability for AI systems

• AI incident response plans: Not just for security anymore

• Practical considerations for bias audits under NYC Local Law 144

• Evan Selinger, Brenda Leong, and Albert Fox Cahn, 2023, AI Audits: Who, When, How...Or Even If?, Collaborative Intelligence: How Humans and AI are Transforming our World, MIT Press (Forthcoming).

• Andrew Burt and Brenda Leong, ABA Journal, 2023, Beyond the Hype: Lessons on auditing AI systems from the front lines.

• Market Scale, 2023, Generative AI Writing is Here and Integrating into Daily Life. Still, Society Gets the Final Say on How the Technology is Used, Brenda Leong

  Papers and Book Chapters

• Evan Selinger and Brenda Leong, “The Ethics of Facial Recognition Technology" 2021, Oxford Handbook of Digital Ethics.

• Sophie Stalia-Bourdillon, Brenda Leong, Patrick Hall, & Andrew Burt, 2019, “Warning Signs: The Future of Privacy and Security in the Age of Machine Learning,” Future of Privacy Forum.

• Jordan, S., Fazelpour, S., Koshiyama, A., Kueper, J., DeChant, C., Leong, B., et al. 2019, “Creating a Tool to Reproducibly Estimate the Ethical Impact of Artificial Intelligence.” UCLA: The Program on Understanding Law, Science, and Evidence (PULSE).

• Brenda Leong & Evan Selinger, 2019, “Robot Eyes Wide Shut, Understanding Dishonest Anthropomorphism,” FAT* 2019 Conference Papers.

Future of Privcy Forum Publications

• Brenda Leong, Dr. Sara Jordan, 2021, “The Spectrum of Artificial Intelligence,” 2020.

• Brenda Leong, et al, 2021, “Five Things Lawyers Need to Know About AI,” co-branded with BNH.AI.

• Brenda Leong, 2018, “The Privacy Expert’s Guide to AI and Machine Learning.”

• Brenda Leong, 2018, “Privacy Principles for Facial Recognition Technology in Consumer Applications,” and accompanying Infographic.

• Brenda Leong & Noah Katz, 2021, “An Introduction to Digital Identity.”

• Brenda Leong & Sara Jordan, 2020, “Artificial Intelligence and the COVID-19 Pandemic.”

Legislative Testimony

• U.S. House of Representatives, 2020, Committee on Oversight and Reform, Written Testimony (on the privacy and ethical implications of commercial use of facial recognition technology).

• U.S. House of Representatives Committee on Financial Services, Task Force on AI Equitable Algorithms: Examining Ways to Reduce AI Bias in Financial Services, 2020, Written Statement.

Digital Publications and Posts

• Evan Selinger, Brenda Leong, 2020, “The Public is Being Misled by Pandemic Technology That Won’t Keep Them Safe,” OneZero, Medium.

• Evan Selinger, Brenda Leong, 2020, The Lasting Privacy and Civil Liberties Impacts of Response to COVID-19, 2020, The OECD Forum Network.

• Brenda Leong, 2019, “Facial Recognition and the Future of Privacy; I Always Feel Like…Somebody’s Watching Me,” Bulletin of the Atomic Scientists, DOI: 10.1080/00963402.2019.1604886.

Podcasts/Webinars

• John Danaher on Philosophical Disquisitions; “Episode 82 - What should we do about facial recognition technology?” with Brenda Leong, September 2020.

• Carnegie Council Audio Podcast, Facial Recognition, the Future of Privacy, & COVID-19, with Brenda Leong, 2020.