『AI in Hiring: Legal Guardrails Leaders Can't Ignore』のカバーアート

AI in Hiring: Legal Guardrails Leaders Can't Ignore

AI in Hiring: Legal Guardrails Leaders Can't Ignore

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概要

 In this episode, Dr. Shari Simpson speaks with Jillian Ambrose, Counsel at Crowell, about the urgent legal and compliance risks associated with using AI in hiring processes. As organizations increasingly adopt AI tools for recruitment, understanding the evolving landscape of state laws and potential biases is crucial. Listeners will gain insights into how to effectively engage with AI vendors, ensure compliance, and mitigate risks while leveraging AI for efficiency in hiring. • Understand the evolving patchwork of state laws affecting AI in hiring. • Learn key questions to ask AI vendors about their tools. • Discover the importance of conducting bias audits before using AI tools. • Recognize the need for human oversight in AI-driven hiring processes. • Identify best practices for communicating AI use to candidates. 00:00 -- Introduction to the episode 00:35 -- Importance of AI in hiring today 01:44 -- Legal and compliance risks of AI tools 02:32 -- Engaging with AI vendors effectively 03:40 -- Liability concerns for employers using AI 06:17 -- Addressing bias and disparate impact in AI 08:02 -- Governance and oversight of AI tools 09:23 -- The complexity of state laws on AI 10:19 -- Starting points for AI policy development 12:10 -- Balancing efficiency and legal compliance 13:05 -- Managing human oversight in AI processes 14:30 -- Baby steps for implementing AI in hiring 17:31 -- Communicating AI use to candidates 19:57 -- Future of regulation in AI hiring Guest(s): Jillian Ambrose, Counsel at Crowell. She advises employers on employment law, focusing on compliance and emerging workplace risks. Jillian has extensive experience navigating the complexities of AI in hiring and its legal implications. Keywords: AI in hiring, legal risks of AI, compliance with AI tools, bias in AI recruitment, engaging AI vendors, human oversight in hiring, state laws on AI, AI policy development, communicating AI to candidates, future of AI regulation
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