Is your hiring ready for a bias audit?
The New York City HR Law
Join Us for an Expert Discussion of New York City's New Bias Audit Requirements for Automated Hiring
Lawmakers and regulators are increasingly calling for auditing of AI and machine learning as part of new supervisory regulations and law. New York City’s HR Law is one of the first to go into effect. The bill will, as of January 2023, require employers and/or hiring vendors to conduct annual bias audits of automated employment decision tools. Employers must display audit results publicly, and candidates need to be informed of the use of automation, as well as have the ability to request an alternative selection process.
Are you ready? This panel of legal and technology experts will cover:
- What we know about the law so far, and what’s still ambiguous
- What technical requirements are in the law
- What companies might need to create an audit report
- How some companies are thinking about compliance
- The implications for other AI-related regulations and bills
The panel discussion will be followed by a Q&A session where all participants can pose questions and share their perspectives.
To watch the recorded webinar, simply fill out the form and click Submit.
Senior Associate, Debevoise & Plimpton LLP
Anna Gressel is a senior associate and a member of Debevoise & Plimpton's Data Strategy and Security Group and its FinTech and Technology practices. Her practice focuses on advising major businesses on a wide range of complex and high-impact matters related to artificial intelligence (“AI”) and other emerging technologies. Ms. Gressel has a deep knowledge of emerging regulations, supervisory expectations, and industry best practices with respect to AI governance and compliance.
Chief Data Science Officer, Harver
After a decade in academic neuroscience, Frida Polli sought to apply neuroscience and data science to real-world problems. She founded Pymetrics – acquired by Harver – which uses advances in cognitive neuroscience to create analytics-informed decision-making and performance-enhancement software for the human capital field.
Co-founder, President and Chief Scientist, TruEra
Anupam Datta is passionate about enabling responsible adoption of artificial intelligence. As a Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University for over a decade, he has led groundbreaking research in the areas of AI explainability and governance as well as privacy and data protection.
Director of Strategy and Business Development, TruEra
Outside of his day job at TruEra, Lofred Madzou is also a Research Associate at the Oxford Internet Institute (University of Oxford), where he focuses on the governance of AI systems through audit processes. Before joining TruEra, he was an AI Lead at the World Economic Forum, where he supported global companies in their implementation of responsible AI practices.
Watch Recorded Webinar
TruEra provides AI Quality solutions that analyze machine learning, drive model quality improvements, and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, TruEra’s suite of solutions provides much-needed model transparency and analytics that drive high model quality and overall acceptance, address unfair bias, and ensure governance and compliance.