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Professor Ifeoma Ajunwa, J.D., Ph.D., is an award-winning tenured law professor and author of the highly acclaimed book, The Quantified Worker, published by Cambridge University Press. At Emory, she is the AI.Humanity Professor of Law and Ethics and Founding Director of the AI and the Law Program. She is also the Associate Dean for Projects and Partnerships at Emory Law (starting January 2024). IShe has been a Faculty Associate at the Berkman Klein Center at Harvard University since 2017. She was Fulbright Scholar from 2022-2023, a 2019 recipient of the NSF CAREER Award, and a 2018 recipient of the Derrick A. Bell Award from the Association of American Law Schools (AALS). Dr. Ajunwa’s research interests are at the intersection of law and technology with a particular focus on AI Ethics, privacy, and discrimination issues associated with workplace AI.

Professor Ajunwa is an engaged public intellectual with an extensive list of bylines. She was a columnist at Forbes and has published op-eds in the New York Times, Nature, Washington Post, Harvard Business Review, Wired, Slate and The Atlantic, among others. She is also a contributor to Jotwell and the Law and Political Economy (LPE) blog. Her research and legal commentary have been featured by media outlets such as National Public Radio (NPR), the Wall Street Journal, CNN, the Guardian, and the BBC. She has testified before Congress (the US House Committee on Education and Labor), the Equal Employment Opportunity Commission, and has also spoken before the Consumer Financial Protection Bureau. Professor Ajunwa is a Founding Board Member of the Labor Tech Research Network which is an international group of scholars committed to the research of the ethics of AI used in the workplace and for labor. She is a regular keynote speaker at international conferences and has consulted or served as advisory board member for Fortune 500 tech companies.


News

Bill of Health
Dec 2, 2020

COVID-19 Immunity as Passport to Work Will Increase Economic Inequality

Ifeoma Ajunwa warns that COVID-19 immunity tests may further inequalities

SSRN
Sep 10, 2018

Algorithms at Work

Productivity Monitoring Platforms and Wearable Technology as the New Data-Centric Research Agenda for Employment and Labor Law

In Algorithms at Work: Productivity Monitoring Platforms and Wearable Technology as the New Data…


Community

Harvard Law Today

On the bookshelves, fall 2023

Faculty Associate Ifeoma Ajunwa's book talk, The Quantified Worker: Law and Technology in the Modern Workplace, was discussed in Harvard Law School's Fall 2023 book event roundup.

Dec 15, 2023
LPE Project

Seven Reactions to Biden's Executive Order on Artificial Intelligence

On the Law and Political Economy Project blog, Salomé Viljoen, Ifeoma Ajunwa, and Elettra Bietti are among a group of scholars who provide initial reactions to President Biden's…

Dec 4, 2023
WIRED

Unfair Automated Hiring Systems Are Everywhere

BKC Faculty Associate Ifeoma Ajunwa writes about how algorithms can exacerbate employment discrimination.

May 15, 2023
The New York Times

Africa Is Waiting for What You Promised, Mark Zuckerberg and Jack Dorsey

Ifeoma Ajunwa reflects on the lack of benefits seen in Africa despite massive investments by tech billionaires with grandiose visions.

"A worry still is that these nations will never see any true benefits from tech investments until tech investors address the lack of the basic infrastructure necessary to support…

Dec 1, 2022
HBS Digital Initiative

Ifeoma Ajunwa on the limitless boundaries of employee surveillance

Ifeoma Ajunwa discusses employee surveillance with HBS Digital Initiative

Feb 8, 2021
Ms Magazine

How COVID-19 Could Enable the Inclusion of Women in the Workplace

Ifeoma Ajunwa outlines three reasons why COVID-19 could help the future inclusion of women in the workplace

Nov 20, 2020
Forbes

The COVID-19 Crisis Could Be A Bane Or A Boon For The Inclusion Of Women In The Workplace

Ifeoma Ajunwa on why she thinks the pandemic could benefit the future inclusion of women in the workplace

Nov 6, 2020
Forbes

10 Reasons Why Anti-Racism Training Is Not The Problem

Ifeoma Ajunwa shares her thoughts on anti-racism training

Sep 5, 2020
Scientific American

The Answer to a COVID-19 Vaccine May Lie in Our Genes, But ...

We shouldn’t risk our genetic privacy to find it, writes Ifeoma Ajunwa

May 13, 2020
NPR

Your Boss May Soon Track You At Work For Coronavirus Safety

Ifeoma Ajunwa on worker surveillance

May 8, 2020

You’re Working From Home, but Your Company Is Still Watching You

BKC faculty associate Ifeoma Ajunwa explains why oversurveillance of a workforce can turn counterproductive

Apr 18, 2020
Cornell Chronicle

Ajunwa to Congress: Help stop employers’ AI-fueled bias

Ifeoma Ajunwa testifies in front of the U.S. House of Representatives Committee on Education and Labor

Feb 11, 2020
CSPAN

The Future of Work: Protecting Workers’ Civil Rights in the Digital Age

Ifeoma Ajunwa testified in Congress on automated hiring, workplace surveillance, and genetic testing as part of workplace wellness programs.

Feb 10, 2020
The Guardian

The rise of microchipping: are we ready for technology to get under the skin?

As implants grow more common, experts fear surveillance and exploitation of workers.

Nov 8, 2019
WBUR

Your AI Interviewer Will See You Now

Ifeoma Ajunwa joins WBUR to discuss the use of AI in hiring processes

Oct 30, 2019
The New York Times

Beware of Automated Hiring

How do we make sure that automated hiring platforms do not worsen employment discrimination?

Oct 8, 2019
The New York Times

Cooking Eggs in the Morning and Shucking Oysters at Night, Thanks to an App

Facing a labor shortage, restaurants are turning to on-demand services for line cooks, dishwashers and other trained workers.

Sep 1, 2019
Present Value

Ethical Challenges with Technology in the Workplace

Ifeoma Ajunwa discusses the interplay of law and technology in the multiple stages of an employee’s journey

Jul 8, 2019
Tech Empire

The Quantified Worker and Worker Surveillance

Impacts of new tech in the workplace

Apr 9, 2019
NPR

Cornell Professor Ifeoma Ajunwa Discusses Artificial Intelligence Used In Hiring

Is it possible for AI to completely eliminate human bias in the hiring process? Ifeoma Ajunwa doesn't think so.

Apr 8, 2019
SSRN

The Paradox of Automation as Anti-Bias Intervention

In some instances, automated decision-making has served to replicate and amplify bias.

Apr 7, 2019

Events

Nov 13, 2023 @ 12:30 PM

The Quantified Worker

With exhaustive detail, Ifeoma Ajunwa shows how different forms of worker quantification are enabled, facilitated, and driven by technological advances. Timely and eye-opening,…

Event
May 2, 2017 @ 12:00 PM

The Quantified Worker

with Berkman Klein Fellow, Ifeoma Ajunwa

To apply to Futurecorp, please submit your resume, list of references, and a genetic profile. Once hired, we'll make an appointment for you to receive a sub-dermal tracking…