Liability and Risk Considerations When Adopting AI Technology

As mental health and substance use organizations increasingly turn to artificial intelligence (AI) to enhance patient care and operational efficiency, understanding the associated liability and risk factors becomes crucial. AI technologies such as predictive analytics and decision support systems offer tremendous potential, but they also introduce complex legal, ethical and regulatory challenges.

Join us for an insightful webinar where we explore the critical liability and risk considerations involved in integrating AI technology into behavioral health settings. Our expert panel will provide practical guidance on navigating these challenges to ensure responsible and effective AI adoption.

Key topics

• Legal and regulatory landscape: implications of AI on liability and risk management
• Ethical considerations in AI-driven decision-making and patient care
• Understanding data privacy and security concerns in AI deployment
• Best practices for developing AI governance frameworks in behavioral health organizations

Speakers

• Dianne Pledgie, Partner and Compliance Counsel, Feldesman Leifer LLP
• Molly Evans, Partner, Feldesman Leifer LLP