The Lewis Katz School of Medicine has established a Katz Artificial Intelligence (AI) Task Force to bring greater coordination, shared guidance, and strategic focus to AI-related work already emerging across the school. The task force is led by Akiyah Baugh, Director, Information Technology; Ryan Gibbons, MD, Assistant Dean of Faculty Affairs and John M. Daly, MD, & Measey Foundation Endowed Professor in Medical Education Innovation; and Munir Gunes Kutlu, PhD, Assistant Professor, Neural Sciences and Center for Substance Abuse Research. This team brings together individuals with expertise in administration, education, ethical clinical care, and research to establish shared guidelines, identify priorities, and ensure responsible AI use that advances education, research, clinical care, operations, and infrastructure at Katz.

"Artificial intelligence is already shaping how faculty at medical schools teach, conduct research, care for patients, and manage operations," said Amy J. Goldberg, MD, FACS, The Marjorie Joy Katz Dean of the Lewis Katz School of Medicine. “At Katz, we are committed to guiding the use of AI in ways to advance our mission while upholding the highest levels of ethics, integrity, privacy, and accountability."

The Katz AI Task Force will develop school-wide standards for responsible AI use, including guidance on data governance, privacy, risk mitigation, ethical principles, experimentation, evaluation, and deployment. They will evaluate potential AI applications to ensure they support the school's strategic priorities, explore practical elements of AI deployment, such as enterprise-wide feasibility, and pilot-test applications of interest.

The work will be carried out through six specialized subcommittees:

• Curriculum / Education and Faculty AI Training: focusing on integrating AI into curricula and preparing faculty to teach and use AI effectively.
• Clinical Care: focusing on AI applications in patient care and clinical workflows.
• Research: focusing on AI use in research design, data analysis, compliance, and integrity.
• Operational Efficiency: focusing on optimizing workflows, automation, and overall efficiency.
• Compliance, Risk, and Ethics: focusing on privacy, responsible use, and ethical standards.
• Infrastructure, Resources, Service Guidelines, Training, and Communication: focusing on infrastructure needs, shared services, access pathways, training, and communication.

The task force will also help foster a culture of shared learning across Katz by encouraging ongoing education, knowledge-sharing, and dialogue about AI across mission areas and functions. The Katz AI Task Force will also align with the University and Temple Health AI task forces to share best practices, exchange information, and support a coordinated, enterprise-level approach to AI use, as appropriate.

The task force will also guide the development of a new AI resource section for the Katz Portal that will provide the Katz community with updates, guidance, resources, and communication materials, helping to ensure transparency and clear communication.