Component Type: Tutorial
CE: ACPE 2.75 Knowledge UAN: 0286-0000-25-505-L04-P; CME 2.75; IACET 2.75; RN 2.75
Pre-registration required and is an additional fee.
*Please note: Short Courses are stand-alone events. Registration for the main conference, forum, etc. are not mandatory. Already registered? Log in to DIA's
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This Short Course will be offered virtually – Join from anywhere! This short course will provide an overview of major regulations and regulatory frameworks of major world health authorities around the use of Artificial intelligence (AI)/GenAI in the life sciences industry. It will cover the ethical, legal, and practical aspects of AI implementation, focusing on compliance with current and emerging regulations. It will introduce concepts of the AI Risk Management Framework (RMF) by National Institute of Standards and Technology and explore how they can be extended to AI governance within the life sciences industry. It will provide some ideas on how to implement AI governance processes for the implementation of projects and ongoing maintenance. Receive
$50 off your Global Annual Meeting total purchase by registering for two or more Short Courses. Purchases must be made at the same time to receive the discount. Discounts will be reflected on the last page of the cart. Registered attendees for this virtual Short Course will receive access to the course recording for 2 full months post-course! This allows you to remain flexible with your schedule and not worry if you need to step out momentarily. Have a conflict with the dates of the course, but are interested in the content? Register anyway and you will receive access to the recording!
Who should attend?Professionals involved in the drug development and commercialization space (business as well as IT) who are interested in understanding the fast-growing discipline of AI regulations and governance frameworks, especially when AI/GenAI tools are being increasingly evaluated, prototyped and implemented in the life sciences industry.
Learning Objectives- Discuss key regulations and regulatory frameworks around the use of AI in the life sciences industry
- Describe the business impact and compliance requirements for AI applications in drug development and commercialization
- Identify strategies to establish AI governance and compliance processes in the implementation of capabilities and ongoing maintenance
