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Within UL Solutions we provide a broad portfolio of offerings to all the medical device industries. This includes certification, Approved/Notified Body and consultancy services. In order to protect and prevent any conflict of interest, perception of conflict of interest and protection of both our brand and our customers brand, we have processes in place to identify and manage any potential conflicts of interest and maintain impartiality. UL Solutions is unable to provide consultancy services to EU MDD, MDR or IVDD Notified Body, UKCA MD Approved Body or MDSAP Customers.
Sep 30, 2026
  • Webinar

Building Trust, Reducing Risk and Supporting Responsible AI Adoption

Join UL Solutions to explore AI regulations, safety considerations, governance and best practices for responsible adoption, including an introduction to the UL 3115 framework.

AI chip.

Date & Time

Starts

Sep 30, 2026 9:00am CDT

Ends

10:00am CDT

Location

Virtual

Language

English

Join UL Solutions for an expert-led webinar on responsible AI adoption. As AI technologies scale rapidly, organizations face increasing regulatory scrutiny, expanding risk exposure and growing expectations for transparency and accountability.

In this session, we’ll explore the evolving global AI regulatory landscape, key challenges in AI safety and governance, and practical approaches to responsible development and deployment. You’ll gain insight into emerging risk areas, safety gaps and how standards are being applied across industries.

We’ll also introduce UL Solutions’ capabilities across AI training, advisory, certification and Marketing Claim Verification (MCV), with an overview of UL 3115, the Outline of Investigation for Safety of AI-Based Products. Real-world examples will illustrate how organizations are building trust, improving deployment readiness and differentiating in the market.

Whether you’re developing or deploying AI-enabled products, this webinar offers practical perspectives to help you move forward with greater confidence.

Speakers

Dr. Douglas A. Brooks, Director, AI Incubation and Innovation 
Dr. Young M. Lee, Technical Leader and Principal Engineer for Artificial Intelligence

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