⚡ Quick Summary
This article discusses the urgent need for a tailored governance framework for consumer health AI, emphasizing a multi-stakeholder approach that prioritizes patient needs. The proposed model aims to ensure that AI technologies in healthcare are safe, effective, equitable, and trustworthy (SEET).
🔍 Key Details
- 📊 Participants: Nearly 200 multidisciplinary experts
- 🧩 Focus: Governance of consumer-facing health AI
- ⚙️ Proposed Model: Health AI Consumer Consortium (HAIC2)
- 🏆 Key Characteristics: Adaptability, patient empowerment, transparency
🔑 Key Takeaways
- 🤝 Multi-stakeholder engagement is crucial for effective governance in consumer health AI.
- 🔍 A tailored approach is necessary to avoid the pitfalls of generic guidelines.
- 🌟 Patient needs should be at the center of governance frameworks.
- 📈 The proposed HAIC2 aims to align incentives across stakeholders.
- 🌍 Global relevance of the findings extends beyond the U.S. healthcare system.
- 💡 Emphasis on transparency and thoughtful oversight is essential.
- ⚖️ Balancing innovation with governance is key to successful AI integration.
📚 Background
The rapid advancement of artificial intelligence (AI) in healthcare presents both opportunities and challenges. While AI has the potential to enhance patient care, the lack of specific governance frameworks tailored to consumer health AI raises concerns about unintended consequences and misapplication of generic guidelines. This study aims to bridge that gap by proposing a structured approach to governance that incorporates diverse stakeholder perspectives.
🗒️ Study
Conducted over a four-month period, this study synthesized insights from nearly 200 experts across various disciplines. The goal was to develop a governance model specifically for consumer health AI, focusing on the unique needs and challenges of this domain. The discussions highlighted the importance of a collaborative process that includes patient voices and aligns stakeholder incentives.
📈 Results
The study identified a shared view of consensus among participants, emphasizing that governance should be adaptable and centered on patient empowerment. The proposed Health AI Consumer Consortium (HAIC2) is designed to facilitate collaboration among stakeholders, ensuring that patient needs are prioritized and that the governance framework remains relevant and effective.
🌍 Impact and Implications
The implications of this study are significant as consumer AI technologies continue to proliferate globally. By advocating for a multi-stakeholder approach that emphasizes transparency and patient empowerment, the proposed governance model aims to ensure that AI applications in healthcare are not only innovative but also safe and equitable. This framework could serve as a blueprint for other regions looking to implement responsible AI governance in healthcare.
🔮 Conclusion
This study highlights the critical need for a structured governance framework for consumer health AI. By fostering collaboration among stakeholders and centering patient needs, we can pave the way for AI technologies that are trustworthy and effective. As we move forward, it is essential to continue exploring these multi-stakeholder approaches to ensure that AI serves the best interests of consumers worldwide.
💬 Your comments
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Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.
Abstract
INTRODUCTION: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.
OBJECTIVE: Our objective is to explore pragmatic multi-stakeholder approaches to govern consumer-facing health AI. The aims are to (1) establish an approach tailored for consumer health AI governance and (2) identify key constraints and desirable model characteristics.
METHODS: This paper synthesizes insights informed by a 4-month multidisciplinary expert consensus process with nearly 200 participants. The deliberations provided guidance for the development of the proposed governance models in consumer health AI.
RESULTS: (1) A Shared View of Consensus: A process for consumer health AI governance should limit the scope and incorporate multi-stakeholder perspectives centered on patient needs. Desirable model characteristics include adaptability, patient empowerment, and transparency. (2) Recommended Collaborative Process: A pathway for effective governance should begin by forming a Health AI Consumer Consortium (HAIC2) representing patients and aligning incentives across stakeholders.
CONCLUSIONS: While examples focus on the United States healthcare system, core themes around incorporating consumer voices, enabling transparency, and balancing innovation with thoughtful oversight while avoiding overambitious scope will have relevance globally. As consumer AI spreads worldwide, the multi-stakeholder alignment and patient empowerment principles proposed here may offer productive ways to ensure AI for consumers is safe, effective, equitable, and trustworthy (SEET).
Author: [‘Rozenblit L’, ‘Price A’, ‘Solomonides A’, ‘Joseph AL’, ‘Srivastava G’, ‘Labkoff S’, ‘deBronkart D’, ‘Singh R’, ‘Dattani K’, ‘Lopez-Gonzalez M’, ‘Barr PJ’, ‘Koski E’, ‘Lin B’, ‘Cheung E’, ‘Weiner MG’, ‘Williams T’, ‘Thuy Bui TT’, ‘Quintana Y’]
Journal: Int J Med Inform
Citation: Rozenblit L, et al. Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health. Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health. 2024; 195:105713. doi: 10.1016/j.ijmedinf.2024.105713