Purpose: To focus on the principles, compliance, and best practices for managing and protecting... View more
PublicEthics & Governance
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Group Description
Purpose: To focus on the principles, compliance, and best practices for managing and protecting sensitive healthcare data that fuels AI systems.
Description: This group addresses the critical importance of secure and ethical data handling, from collection and storage to access and usage, ensuring compliance with privacy regulations and robust cybersecurity measures. It’s about safeguarding the foundation of AI.
Intended Use: For members to discuss strategies for data privacy, compliance with regulations like HIPAA and GDPR, implementing cybersecurity best practices for AI systems, and ensuring the quality and integrity of healthcare data for AI development and deployment.
Limitations: This group focuses on data governance and security principles and best practices. Technical implementation of IT security infrastructure (e.g., firewalls, specific network configurations) falls more into “IT & Infrastructure Management” (1.4). Discussions about data science techniques for model development are in “AI Innovators & Developers” (1.3).
Key Activities:
Discussions on strategies for de-identification and anonymization of patient data.
Sharing compliance frameworks for major data protection regulations.
Best practices for securing AI models and data against cyber threats.
Methods for ensuring data quality, lineage, and integrity for AI.
Potential Users: IT & Infrastructure Professional, Policy/Regulatory/Legal Expert, Healthcare Leader/Administrator, AI Innovator/Developer (data-focused), Academic/Researcher.
Possible Discussions: “Implementing robust data governance policies for AI datasets,” “Navigating data residency requirements for cloud-based AI in healthcare,” “Best practices for auditing data access logs for AI systems.”
Other Important Notes: Data is the fuel for AI, and this group ensures that fuel is handled with the utmost care and responsibility.
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