AI in the Workplace: Employment & Labor Law Risks, Opportunities, and Compliance
About Course
This two-hour CLE course delivers a focused and practical examination of how Artificial Intelligence (AI) is reshaping employment and labor law. It addresses real-world legal challenges posed by AI in hiring, performance evaluation, workplace monitoring, and dispute resolution—alongside strategies for compliance and risk management.
Attendees will explore key legal frameworks, including Title VII, ADA, ADEA, EEOC and OFCCP guidance, GDPR, CCPA, and state/local AI regulations such as NYC Local Law 144. The course will highlight landmark case studies, enforcement trends, and anticipated litigation patterns over the next five years.
Interactive discussions and a case-based exercise will equip participants to recognize potential bias, privacy violations, and labor rights issues stemming from AI adoption—and to design policies that balance efficiency with fairness and legal compliance.
Learning Objectives
By the end of this course, participants will be able to:
- Identify major AI applications in workplace compliance, HR decision-making, and dispute resolution.
- Evaluate the legal implications of bias detection, performance monitoring, and automated decision-making.
- Apply relevant federal, state, and local regulations governing AI in employment.
- Implement bias audits, human oversight, and contractual safeguards for AI vendors.
- Anticipate and prepare for litigation trends involving AI in the workplace.
Key Topics
- AI in compliance monitoring and workplace investigations
- Bias detection in hiring, promotion, and pay equity
- Risks in AI-driven termination and performance scoring
- Employee privacy, data protection, and consent requirements
- Union negotiations and collective bargaining over AI use
- Best practices for policy drafting and vendor selection