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Assessing Emerging Bioethical Issues in the Application of Big Data and Artificial Intelligence (AI) in Clinical and Translational Research Involving Underrepresented Populations

Date Fri, Mar 22
Time 09: 00 AM - 1: 45 PM
Location Zoom Webinar

Learning Objectives:

  • Describe recent advances in AI and BD with applications in clinical and translational research.
  • Understand the unique ethical challenges raised by AI and BD in health research and service.
  • Recognize how principles of AI Trustworthiness apply to Health Disparities Research and Practice
  • Understand how AI and BD Incur Bias(es), implications for structural justice, and their disproportionately negative impact on underrepresented populations
  • Identify approaches and tools for ethically sound risk assessment and mitigation strategies to address biases, burdens, threats, and harms associated AI and BD implementation in clinical and translational research.

Topics and Speakers: 

Use of AI for Clinical and Translational Research: Recent Developments – Christos Makridis, PhD – Sr. Research Adviser, National Artificial Intelligence Institute (NAII), Department of Veterans Affairs

Ethical Challenges Arising from the Use of BD and AI in Health Research – Assya Pascalev, PhD – Associate Professor, Department of Philosophy & Department of Interdisciplinary Studies Program Director, B.A. in Interdisciplinary Studies: Bioethics, College of Arts and Sciences Ethics Co-director, REKS, GHUCCTS Howard University, Washington, DC, USA Book Series, Editor, Perspectives in Bioethics, Trivent, Hungary Founding Director, Bulgarian Center for Bioethics, Bulgaria

Bioethical Considerations for AI Trustworthiness in Health Disparities Research and Practice – Alexander Libin, PhD – Scientific Director, BERD, GHUCCTS; AI-Learn Initiative, MedStar Health Research Institute/Data Science Training Core, AIM AHEAD

Decentralized Biobanking “de-bi” Technology: Embedding Transparency, Accountability and Engagement in Learning Health Systems – Mariella Gross, MD – Assistant Professor, Dept of Obstetrics, Gynecology and Reproductive Sciences, Center for Bioethics and Health Law, University of Pittsburgh Medical School

Panel Discussion – What does the public need to know about AI, Machine Learning (ML), and BD?

Moderator: Carla Williams, PhD – Associate Professor of Medicine & Public Health, Howard University; Director, Community Engagement, GHUCCTS

Panelists:

  • Dr. Christos Makridis
  • Dr. Mariella Gross
  • Dr. Alexander Libin
  • Dr. Assya Pascalev

This is a free, virtual event, but registration is required. A webinar link will be sent to your email a few days prior to the event.

Registration Link: https://redcap.link/AI_BDforumMarch22_2024 

Contact: Claudia Gunawan, MS at claudia.gunawan@va.gov

Download Agenda

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