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Dr. Ifeoma Ajunwa is an Assistant Professor at Cornell University’s Industrial and Labor Relations (ILR) School, and Associated Faculty Member at Cornell Law School.

She is also an Affiliate of the Center for the Study of Inequality at Cornell University. Dr. Ajunwa’s research interests are at the intersection of law and technology with a particular focus on the workplace and the ethical development and governance of workplace technologies.

Dr. Ajunwa earned a Ph.D. in Sociology at Columbia University in the City of New York (emphasis on Organizational Theory and Law and Society). She also holds a law degree and has been admitted to practice in the states of New York and California.

Dr. Ajunwa’s law review paper, Limitless Worker Surveillance, (with Kate Crawford and Jason Schultz) was published in the California Law Review in 2017. That paper has been downloaded more than 2,700 times on SSRN and was endorsed by the NY Times Editorial Board. In addition to the California Law Review, Dr. Ajunwa’s articles have been published or are forthcoming in both top law review and peer review publications including the Fordham Law Review, the Northwestern Law Review, the Harvard Civil Rights-Civil Liberties Law Review, The Berkeley Journal of Employment and Labor Law, the Harvard Business Review, Journal of Law, Medicine, and Ethics, and in Research in the Sociology of Work, among others. Dr. Ajunwa has been invited to present her work before governmental agencies such as the Consumer Financial Protection Bureau (the CFPB), the Equal Employment Opportunity Commission (the EEOC), and she has given keynote lectures at many national and international conferences.

Dr. Ajunwa’s forthcoming book, The Quantified Worker, which examines the role of technology in the workplace and its effects on management practices as moderated by employment and anti-discrimination laws will be published by Cambridge University Press in 2019.


News

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… More


Community

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

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… More