AI Discrimination and Emerging Best Practices – Part 2 - The Good Bot Podcast
AI Discrimination and Emerging Best Practices – Part 1 — The Good Bot Podcast
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
Putting AI to Work in Compliance
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
One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards a particular viewpoint,...more
I continue to be troubled about AI Sycophantism. What is that? The tendency of generative AI to agree with the user, to respond in a way that is aligned with the user’s biases, errors and hallucinations. In other words, the...more