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Regulatory and Ethical Considerations for AI in Pharma Essentials
"Regulatory and Ethical Considerations for AI in Pharma Essentials" provides an overview of the key legal, ethical, and governance issues surrounding AI use in the pharmaceutical industry. Topics include transparency, accountability, and patient consent in AI-assisted decisions. Cybersecurity is essential for demonstrating regulatory readiness and protecting AI systems from data breaches. Participants learn how to comply with both cyber and ethical guidelines to ensure safe deployment.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the regulatory landscape governing AI in the pharmaceutical industry.
- Analyze the ethical principles and guidelines for responsible AI development and deployment in pharma.
- Evaluate the implications of AI for patient privacy and data protection.
- Identify strategies for ensuring transparency, fairness, and accountability in AI applications.
- Discuss how robust cybersecurity frameworks are essential to meet regulatory compliance and ethical standards for AI in pharma, particularly regarding data integrity and privacy.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.