This presentation explores the growing use of artificial intelligence across the workplace and beyond, and the legal implications that follow. It examines both the benefits and risks of AI — particularly algorithmic bias — and analyzes emerging issues under employment law as well as related areas, including civil rights, privacy, healthcare, and consumer protection. Attendees will gain practical guidance on how to mitigate risk, ensure compliance, and responsibly implement AI tools in a rapidly evolving legal landscape.
- Overview & Objectives
- Overview of session goals
- Why AI in employment matters now
- AI Basics & Real-World Applications
- What is AI?
- Common workplace uses (hiring, screening, productivity)
- Benefits of AI for Employers
- Efficiency and automation
- Reducing human bias (the theory vs. reality)
- Data-driven decision-making
- Risks & Challenges of AI
- Algorithmic bias
- Hallucinations and reliability issues
- Privacy and ethical concerns
- Overreliance on technology
- Legal Landscape & Key Cases
- Overview of emerging AI-related litigation
- Employment law implications (EEOC, discrimination claims)
- Notable cases (Workday, iTutorGroup, etc.)
- Broader legal rights (FLSA, civil rights, privacy)
- Practical Guidance for Employers
- Risk mitigation strategies
- Audits and human oversight
- Training and governance
- Tracking legislation and regulatory trends
- Takeaways and Q&A
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Kaufman Borgeest & Ryan LLP
Diana-Marie is a partner whose practice focuses on employment litigation, general liability, and skilled nursing, assisted living, home & hospice care. She represents employers, resorts, education boards, townships, medical professionals, nursing homes, and assisted living facilities in proceedings throughout New Jersey, New York, and Pennsylvania. Read More ›
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Format: On-Demand
Credits: 1.00 General
Earn Credit Until: December 31, 2026
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Format: Live (Virtual), On-Demand
Credits: 1.00 General
Earn Credit Until: June 24, 2031
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Credits: 1.00 General
Earn Credit Until: June 30, 2028
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Format: Live (Virtual), On-Demand
Credits: 1.00 General
Earn Credit Until: June 24, 2028
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: June 24, 2028
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: June 25, 2028
Status: Approved
Format: Live (Virtual), On-Demand
Credits: 1.20 General
Earn Credit Until: June 24, 2027
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: February 28, 2027
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: December 31, 2026
Status: Approved
Format: On-Demand
Credits: 1.00 Substantive Law, Practice, and Procedure
Earn Credit Until: June 24, 2028
Status: Approved
Format: Live (Virtual), On-Demand
Credits: 1.00 Legal Ethics/Professional Responsibility
Difficulty: All Levels
Earn Credit Until: December 31, 2026
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: May 31, 2027
Status: Approved
Format: On-Demand
Credits: 1.00 General
Earn Credit Until: December 31, 2026
Status: Approved
Format: Live (Virtual), On-Demand
Credits: 1.00 General
Earn Credit Until: June 25, 2031
This presentation is approved for one hour of General CLE credit in Alabama, one hour of General CLE credit in Alaska, one hour of General CLE credit in California, one hour of General CLE credit in Hawaii, one hour of General CLE credit in Illinois, one hour of General CLE credit in Nebraska, one hour of General CLE credit in North Carolina, one hour of General CLE credit in Ohio, one hour of Substantive Law, Practice, and Procedure CLE credit in Pennsylvania, one hour of Legal Ethics/Professional Responsibility CLE credit in South Carolina (all levels), one hour of General CLE credit in Utah, and one hour of General CLE credit in Vermont. This program has been approved by the Board on Continuing Legal Education of the Supreme Court of New Jersey for 1.20 hours of total CLE credit. This course has been approved for Minimum Continuing Legal Education credit by the State Bar of Texas Committee on MCLE in the amount of 1.00 credit hours.
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