Deligence Research NGO is focused on artificial intelligence research for global healthcare and with federal involvement.
Metrics and Research Summary:
- Federal Investment and Collaboration:
- The U.S. National Science Foundation (NSF) has been a significant funder of AI research since the 1960s, with a particular emphasis on addressing national challenges, including healthcare. NSF’s National Artificial Intelligence Research Institutes program has established 25 institutes focusing on various aspects of AI, with some directly impacting healthcare through themes like “Trustworthy and ethical AI” and “AI-augmented learning” (NSF).
- The Department of Health and Human Services (HHS) has recently outlined a strategic plan that emphasizes public-private collaboration to enhance AI adoption in healthcare, focusing on innovation, ethical technology development, accessibility, and workforce development (Nextgov/FCW).
- NGOs Driving AI for Healthcare:
- AI for Good Foundation: This NGO leverages AI to tackle urgent global challenges, including healthcare. Their initiatives include AI audits to ensure ethical AI use and support for projects aligned with the UN’s Sustainable Development Goals (AI for Good Foundation).
- AI4ALL: While broad in scope, AI4ALL works towards increasing diversity and inclusion in AI, with implications for healthcare by creating a more diverse pool of professionals who could contribute to health-related AI research (Omdena).
- Research and Ethical Considerations:
- There’s a significant focus on the ethical deployment of AI in healthcare. Efforts include frameworks to ensure AI tools are developed and used in ways that respect privacy, avoid bias, and consider equity. For instance, the “A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning” by McCradden et al. highlights the need for ethical norms in AI integration into clinical settings (PMC – NCBI).
- Global Health Perspective:
- The World Health Organization (WHO) is actively involved in shaping the use of AI in healthcare globally, focusing on ethical standards, governance, and ensuring AI benefits are accessible across different healthcare systems (WHO).
- Challenges and Opportunities:
- The integration of AI into healthcare faces challenges like data privacy, bias in AI algorithms, and the need for regulatory frameworks to keep pace with technological advancement. Opportunities include personalized medicine, improved diagnostics, and enhanced patient outcomes through AI-driven insights.
Conclusion:
The intersection of AI, healthcare, and federal policy, there’s a vibrant ecosystem of NGOs, federal initiatives, and international bodies working to harness AI’s potential while navigating its complex ethical landscape. Engaging with these organizations or following their research outputs could provide both inspiration and practical knowledge for your interests or projects in this field. the key metrics here revolve around investment, collaboration, ethical considerations, and the potential for significant healthcare improvements.
Wiloke