Risk of AI in Insurance

As artificial intelligence reshapes the insurance landscape, understanding its risks is no longer optional. This webinar explores the critical challenges the industry faces when adopting AI tools, from emerging legal developments to practical operational concerns. Attendees will examine recent court decisions reflecting the evolving and sometimes conflicting judicial perspectives on AI, while gaining a clearer picture of the potential pitfalls that come with AI integration, including bias, copyright exposure, and erroneous outputs.   Key Takeaways:  Understand how courts and judges are reaching different conclusions on AI-related issues and what those decisions mean for the insurance industry.  Identify the key risks associated with AI use in insurance contexts, including algorithmic bias, copyright infringement, and hallucinated outputs. Walk away with practical considerations to evaluate before integrating AI tools into your workflows.



Presenters



Gabriel Fundora, Esq., CPCU | Lead Claims Counsel | Slide Insurance Company 

Gabriel Fundora serves as Lead Claims Counsel at Slide Insurance Company, where he oversees pre-suit legal strategy and supports claims operations on regulatory, contractual, and process-related matters. His work includes advising on legal risk and improving workflows through better use of data and technology. He holds a CPCU designation and is passionate about how legal and claims functions can work more effectively together in support of business objectives. Fundora resides in Tampa, Florida.
 

 

 

 






Jill Hanna, CPCU, AU, ASLI | Senior Commercial Lines Product Manager | Encova Insurance  

Jill Hanna brings more than 30 years of insurance industry experience to her role as Senior Commercial Lines Product Manager at Encova Insurance. Throughout her career, she has held a variety of positions spanning personal and commercial lines underwriting, operations, risk management, distribution, and product management. Hanna earned her CPCU designation in 2013 and holds additional designations including AU and ASLI. She spent the majority of her career working in Maryland handling the Mid-Atlantic states before relocating to North Carolina in 2021.  
 

 

 

 






Lauren D’Albero, CPCU, API  | Manager, State Relations | Insurance Service Office, Inc.

Lauren D'Albero has more than 10 years of experience in the insurance industry, with a background in compliance and government relations. As Manager, State Relations at Insurance Services Office, Inc., she is responsible for managing personal lines filings, coordinating regulatory inquiries and responses, and facilitating customer adoption of ISO personal lines programs. D'Albero earned her Bachelor of Business Administration from Pace University and her Juris Doctor from Widener University School of Law. She obtained her CPCU designation in 2016 and her Associate in Personal Insurance designation in 2023.  













Sharon Conner, CPCU, CRM, CIC | Product Director | Travelers 

Sharon Conner is a Product Director at Travelers with more than 30 years of experience in the commercial insurance industry. Her expertise spans multi-line underwriting, risk management, and product development across General Liability, Professional Liability, and Umbrella lines. In her current role, she designs, develops, and implements innovative insurance products, balancing compliance, profitability, and market strategy. Conner holds an MBA and numerous industry designations, including CPCU, CRM, CIC, ARM, ARC, AIM, and FLMI. She is also actively involved in mentoring emerging insurance professionals through the Travelers EDGE Program and serves on the Maryland Insurance Department's Producer Licensing Board. 
 
 

 
 
When
6/23/2026 11:00 AM - 12:00 PM
Eastern Daylight Time
Registration
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Registration ends 6/23/2026 12:00 PM EDT

Program

Tuesday, 12 May 2026

Description
Individual Registration
When
5/12/2026 11:00 AM - 6/23/2026 12:00 PM
5/12/2026 11:00 AM
Group Registration
When
5/12/2026 11:00 AM - 6/23/2026 12:00 PM
5/12/2026 11:00 AM