The Future of Work: Issues and Solutions by Professor Ifeoma Ajunwa

Professor Ifeoma Ajunwa from Cornell University addresses two key issues facing workers in the future of work: the use of AI for discrimination in hiring and the demand for worker data. She proposes solutions such as a certification system for automated hiring platforms and a framework for the collection and use of worker data. Ajunwa's work sheds light on the challenges and potential strategies to ensure fair and ethical practices in the evolving workplace landscape.

• Future of Work
• Professor
• Ifeoma Ajunwa
• AI
• Discrimination

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1. California Future of Work Commission Professor Ifeoma Ajunwa, J.D., Ph.D. Assistant Professor, Cornell University ILR School, Faculty Associate Member, Cornell Law School Twitter: @iajunwa E-mail: iajunwa@cornell.edu Thursday, January 16th, 2020

2. TWO MAIN ISSUES FOR WORKERS Use of AI for Discrimination in Hiring Discrimination by proxies Discrimination by platform design Solution: Certification System for Automated Hiring Platforms Demand for Worker Data Biometric Data: e.g. Hirevue, RFID skin tags Health Data: e.g. as part of workplace wellness programs, from wearable tech Solution: Framework for collection and use of worker data

3. USE OF AI FOR DISCRIMINATION IN HIRING Discrimination by proxies Discrimination by platform design Solution: Certification System for Automated Hiring Platforms See attached paper, Automated Employment Discrimination The Paradox of Automation as Anti-Bias Intervention, 41 Cardozo. L. Rev. __ (Forthcoming, 2020). Age Discrimination by Platforms, 40 Berkeley J. Emp. & Lab. L.1 (2019). Combatting Discrimination Against the Formerly Incarcerated in the Labor Market, 112 Nw. U. L. Rev. 1385 (2018). (with Professor Angela Onwuachi-Willig).

4. THE FAIR AUTOMATED HIRING MARK FAHM Automated Employment Discrimination, available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3437631

5. Demand for Worker Data Biometric Data: e.g. Hirevue, RFID skin tags Health Data: e.g. as part of workplace wellness programs, from wearable tech Solution: Framework for collection and use of worker data Algorithms at Work: Productivity Monitoring Applications and Wearable Technology, 63 St. Louis U. L.J. 21 (2019). Health and Big Data: An Ethical Framework for Health Information Collection By Corporate Wellness Programs , Journal of Law, Medicine, and Ethics, 44 (2016): 474-480 (with Kate Crawford and Joel Ford). Genetic Data and Civil Rights, 51 Harv. C.R.-C.L. L. Rev. 75 (2016).

6. FRAMEWORK FOR COLLECTION & USE OF WORKER DATA Limitless Worker Surveillance, 105 Cal. L. Rev. 736 ( 2017) (with Professors Jason Schultz and Kate Crawford). (Many thanks to Miranda Bogdat Upturn for this important insight)

7. Thank you for your kind attention! Automated Employment Discrimination Professor Ifeoma Ajunwa, J.D., Ph.D. Assistant Professor, Cornell University Industrial and Labor Relations School, Faculty Associate Member, Cornell Law School Twitter: @iajunwa E-mail: iajunwa@cornell.edu Hashtag: #AIDiscrimination