Healthy AI for access, sharing and protection of sensitive data.
summary
Finland enacts a law enabling broad secondary use of health, social and benefits registries via Finland’s one‑stop FinData permit authority, using unique ID linkage and releasing only aggregated results or controlled datasets inside safe and secure audited environments with publication checks to prevent re‑identification. OECD notes (May 2019) five AI trust principles and finds governance—not technology—blocks reuse. Review of 230 guidance documents highlights consent limits; privacy techniques (differential privacy, federated learning, homomorphic encryption) are promising but pseudonymisation remains fragile. UNICEF and HCCI show practical trusted‑third‑party models.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 7:10European Health Data Space
- 13:10What other countries are doing
- 14:16The importance of trust
- 29:35Data sharing
- 37:24Remarks
- 39:41Public from the start
- 43:12Lack of control
- 45:52Shifting the burden
- 49:21Other rights
- 55:36Data spaces
related talks
24mAI, Health & Confidentiality
01h 15mREGULATING AI IN HEALTH RESEARCH AND INNOVATION
01h 19mAligning Data Privacy and AI Governance
01h 20mA learning health care system secondary use of health data in research (2)
01h 09mGOVERNANCE AND REGULATION OF AI FROM THE PERSPECTIVE OF AUTONOMY AND PRIVACY
01h 17mSECONDARY USE OF PERSONAL DATA FOR (BIOMEDICAL) RESEARCH
01h 12mAI in the Urban Landscape Navigating Data Governance with Multiple Stakeholders
01h 12mThe Role of Technology in Fostering the Power of Personal Data: Privacy, Trust & Innovation