Dr. Tiffani J. Bright Keynote: Blueprints for Trust: Best Practices and Regulatory Pathways for Ethical AI in Healthcare

Description

Description

Tiffani J. Bright, PhD, FACMI,
Co-Director, Center for Artificial Intelligence Research,
Department of Computational Biomedicine,
Cedars-Sinai Medical Center

The "Blueprints for Trust: Best Practices and Regulatory Pathways for Ethical AI in Healthcare" conference aims to bring together healthcare professionals, researchers, policymakers, ethicists, and industry leaders to explore the latest breakthroughs, challenges, and prospects of Artificial Intelligence (AI) in medicine. This conference aims to foster collaboration, encourage the exchange of ideas, and facilitate networking among diverse stakeholders to stimulate innovation and ensure AI's responsible and ethical integration in the medical field.

This exclusive, invitation-only event aims to attract a diverse range of professionals, including representatives from academia, corporations, the US Government, national medical societies, ethicists, patients and advocates interested in the evolution of healthcare through AI. The conference will serve as a platform for attendees to engage with industry thought leaders, participate in keynote addresses, panel discussions, and breakout sessions, and delve into crucial topics such as trust and transparency, ethical considerations, bias and health disparities, governance and policy, and real-world data applications in healthcare. Distinguished Speakers: Our conference will feature distinguished speakers from academia, government, and the private sector. These eminent leaders will offer invaluable insights and expertise on various aspects of AI in healthcare, equipping attendees with the knowledge and perspectives to navigate this complex field.

Outcomes:

The conference will provide ample opportunities for networking and collaboration among attendees, as well as discussions on state-of-the-art AI solutions and products and their ethical, trust, and other challenges. Deliverables from this conference will include:

Creating policy documents for public discussion to influence regulations and implementations
A panel will be held at the fall AMIA conference summarizing the outcomes of this conference.
Creation of scientific articles for submission to leading academic journals.
Press releases on outcomes of the event
Valuable discussion points for policymakers in government and medical societies.

Key Takeaways for Participants:

Participants can expect to gain an in-depth understanding of AI’s current and future landscape in healthcare. They will leave the conference armed with fresh insights, new relationships, and the ability to contribute to the national dialogue, ensuring AI's responsible and ethical deployment in healthcare. Additionally, the conference participants will generate tangible outcomes, including whitepapers and policy papers designed to inform and influence various stakeholder groups responsible for shaping healthcare in the United States today.

Co-Organized with AMIA:

This conference is being organized in collaboration with the American Medical Informatics Association (AMIA) (https://amia.org). AMIA, the leading professional association for informatics professionals, is the center of action for 5,600 informatics professionals from more than 65 countries. As the voice of the nation’s top biomedical and health informatics professionals, AMIA and its members play a leading role in assessing the effect of health innovations on health policy and advancing the field of informatics. AMIA actively supports five domains in informatics: translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics, and public health informatics.

About DCI:

The Division of Clinical Informatics (https://research.bidmc.org/dci) at Beth Israel Deaconess Medical Center (BIDMC) is a leading center for scalable informatics research and policymaking. The DCI Network (https://www.dcinetwork.org) accelerates solutions to complex healthcare problems through multi-stakeholder alliances and strategic roadmaps, focusing on harmonizing data, improving patient engagement, and building trust in AI.

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