Discrimination and Bias in Residential Lending
Podcast - Part 2: An FTC Official Speaks About the Regulation of AI Technology
The Presumption of Innocence Podcast: Episode 33 - Framing the Narrative: Journalism's Influence on the Presumption of Innocence
Podcast - Unlawful Discrimination by Artificial Intelligence
Unconscious Bias and Netflix's Partner Track - Hiring to Firing Podcast
Uncovering Juror Bias, Counteracting Nuclear Verdicts, & the Future of Massive Damages – IMS Insights Podcast Episode 47
International Women’s Day: How Much Progress Have We Really Made?
Marchese, Urfi and Grimes on Ethical AI in Healthcare
Podcast - Discussing the Mission of Black Women's Health Imperative with CEO Linda Goler Blount
Addressing Bias in Performance Reviews [More with McGlinchey, Ep. 31]
Nota Bene Episode 150: Building an AI Risk Management Framework with Siraj Husain
Sidebars Podcast | Mary Hannon: Shining the Light on the Wide Gender Gap in the Patent Bar
Nota Bene Episode 108: Artificial Intelligence: Landmark 2020 Developments and Rapid Business Adoption with Siraj Husain
#WorkforceWednesday: OFCCP Guidance on Diversity Training, Starbucks’ Diversity Plan, Time Off to Vote - Employment Law This Week®
Compliance Perspectives: Roy Snell and Karen Latchana Kenney on Integrity
Episode 03: Big Data's Transition From The Marketer's Desktop To The Employer's Doorstep
Employment Law This Week: Constructive Discharge Claims, Class Waivers, Hiring Bias, Electronic Record-Keeping Rule, Equal Pay
As employment-related artificial intelligence (“AI”) tools proliferate, multinational employers feel increasing pressure to deploy AI across their global offices. These tools can provide great value and efficiency across the...more
New York City employers who use artificial intelligence technologies to recruit and hire candidates and promote employees will soon face significant compliance obligations aimed at preventing bias when using such technology....more
The rise of artificial intelligence and other computer-based, data-driven decisions may seem attractive to employers looking to parse a deep pool of qualified candidates. But concerns that biases may affect these automated...more