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AI ETHICS AND GOVERNANCE Data Privacy and Security

Data Privacy and Security

Public Education

Active 8 weeks ago

Purpose: To discuss methods for protecting patient data in AI-driven healthcare systems while... View more

Public Education

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Group Description

Purpose: To discuss methods for protecting patient data in AI-driven healthcare systems while ensuring compliance with privacy regulations.

Description: This subgroup focuses on the technical, legal, and ethical considerations surrounding data privacy and security in healthcare AI. It explores how to safeguard sensitive patient information while enabling AI research and applications.

Intended Use:
– Discussing strategies for securing healthcare data
– Sharing best practices for regulatory compliance (e.g., HIPAA, GDPR)
– Exploring technical solutions like encryption, anonymization, and blockchain for data privacy

Limitations:
– Not for discussing general cybersecurity topics outside of healthcare
– Not for sharing specific patient data or confidential information

Key Activities:
– Analyzing case studies of successful data privacy implementations
– Discussing challenges in balancing data access for AI research with privacy concerns
– Exploring new technologies like federated learning for secure AI model training

Potential Users:
– Data Scientists
– Policymakers
– Healthcare Administrators
– Researchers
– Vendors (focused on data security solutions)

Possible Discussions:
– “How federated learning can enable secure AI model training across hospitals”
– “Best practices for anonymizing patient data in compliance with GDPR”

– “Blockchain for health data security: promises and limitations”

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