In this inaugural episode of AI at Work, Greg Demers, an employment partner, is joined by Meg Bisk, head of the employment practice, and John Milani, an employment associate, to explore how employers across industries can harness artificial intelligence responsibly while mitigating legal and operational risk.

They discuss the most common pitfalls of employee AI use, including inadvertent disclosure of confidential information, model “hallucinations,” and source opacity, that undermine auditability and accuracy. Turning to HR functions, they examine emerging regulatory frameworks and compliance expectations, such as bias auditing requirements for automated employment decision tools and accessibility obligations, alongside practical steps for vetting vendors, embedding human oversight, and enforcing contractual protections. Listeners will come away with pragmatic strategies to update policies, document decisions and foster a transparent culture of accountability that will position organizations to leverage AI use that is smarter, not riskier.

Stay tuned for future episodes where we will explore the use of AI in human resources, privacy implications and cybersecurity issues, AI in executive compensation & employee benefits, among other topics.