Webinar addresses employer legal risks as AI use grows in the workplace

An August 26 webinar will teach employers how to avoid legal liability from AI in hiring, performance reviews, and workplace monitoring. The session covers bias risks, privacy law conflicts, and building defensible AI policies before complaints or fines arise.

Categorized in: AI News Legal
Published on: Aug 27, 2026
Webinar addresses employer legal risks as AI use grows in the workplace

Employers using artificial intelligence in hiring, performance reviews, and workplace monitoring face a growing web of legal and privacy obligations. A webinar scheduled for August 26, 2026, will examine how AI is reshaping the employer-employee relationship, from data collection to decision-making, and what companies must do to avoid liability.

The session addresses a practical problem: AI tools can introduce bias, process employee data in ways that conflict with privacy laws, and make decisions that lack transparency. For legal professionals, the stakes are concrete - a flawed AI system can produce discrimination claims, regulatory fines, or reputational damage that lands in the legal department's lap.

Where AI creates legal exposure

The webinar will identify the specific risks employers face when AI informs workplace decisions or monitors employee activity. That includes how employee data collected or processed by AI is regulated under current privacy and labor laws, which vary by jurisdiction and continue to evolve.

Bias and fairness are central concerns. AI systems trained on historical data can replicate or amplify patterns of discrimination in hiring, promotion, and discipline. The session will cover how to recognize those issues and strategies to mitigate them before they become legal problems.

Building a defensible AI policy

Beyond identifying risks, the webinar offers practical guidance for responsible AI use. That includes best practices for transparency, consent, and clear communication with employees about how AI is being used in their workplace.

The stated learning objectives emphasize reducing organizational liability while still getting value from AI tools. For legal professionals, that means knowing what questions to ask before an AI system is deployed - not after a complaint is filed.

Why this matters for legal professionals

Employment lawyers and in-house counsel are increasingly the ones answering for AI failures. This webinar provides a framework for auditing AI use, assessing compliance with existing privacy and labor laws, and advising leadership on where the real risks sit. The August 26 session is designed to give legal teams the vocabulary and checklist they need before regulators or plaintiffs force the issue.


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