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Artificial Intelligence (AI): Understanding and Mitigating the Harms to Low-Income Communities

Year Developed: 2024

Resource Type: Archived Webinar.

Primary Audience: Administrative Staff Board of Directors C-Suite (CEOs, CFOs, CIO, COOs, CMOs, etc.) PCAs
Secondary Audience: C-Suite (CEOs, CFOs, CIO, COOs, CMOs, etc.) Enabling Staff Outreach Staff

Language(s): English

Developed by: National Center for Medical-Legal Partnership (See other resources developed by this organization).

Resource Summary: On December 11, 2024, at 4 pm ET, the National Center for Medical-Legal Partnership and TechTonic Justice together with national experts from the Center for Democracy & Technology and the National Health Law Program, hosted a national webinar to explore how medical-Legal partnership practitioners, civil legal aid attorneys, health systems, and others can protect and empower patients, clients, and communities in the face of AI’s rapid advancements. Watch the recording below to gain actionable insights and collaborate on solutions that prioritize the well-being and rights of those most affected.

Resource Details: Learning objectives: 1. Understand Rights and Ethical Implications: Examine the rights-related considerations and potential harms of AI use, including issues of deference, bias, and inequity. 2. Explore Mitigation Strategies: Discuss philosophical and practical methods to reduce AI-related risks, including transparency, equity-focused approaches, and implementing effective guardrails. 3. Analyze Emerging Issues in AI: Consider future challenges and opportunities in AI, including advancements and their implications for society. 4. Adopt a Harm-Reduction and Tequity Lens: Frame AI development and deployment through perspectives that prioritize reducing harm and promoting technological equity.

Resource Topic: Social Determinants of Health (SDOH), Special and Vulnerable Populations

Resource Subtopic: Health Equity, Community, Health, and Housing Partnerships.

Keywords: Policies and Procedures, Prevention.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.