AI in Healthcare: Risks & Challenges - by Luiza Jarovsky
There have been interesting AI-led advancements in healthcare, as well as discussions on related risks & compliance challenges.
Privacy Challenges
Privacy is one of the challenges in integrating AI in healthcare. According to this article:
"The integration of AI in healthcare brings forth complex privacy challenges, particularly in the realms of data control and usage by private corporations. As AI systems increasingly handle sensitive patient data, concerns regarding the stewardship of this information by private entities become paramount. Establishing transparent and accountable data governance frameworks that respect patient privacy and agency is essential to addressing the potential for misuse or unauthorized exploitation of health data. These challenges underscore the need for a delicate balance between technological advancement and the protection of patient rights."
Privacy Risk
Regarding privacy risk, this article highlighted:
"AI could use outside information to reidentify an anonymized patient in different contexts—a violation of the Health Insurance Portability and Accountability Act (HIPAA) and a huge risk for providers."
Additional Challenges
Among additional challenges, according to this paper, are:
- Liability concerns;
- Risk classification challenges;
- Detecting and managing cybersecurity vulnerabilities;
- Interaction between new medical devices and legacy components;
- Assessing and communicating the transparency and explainability;
- Understanding and assessing types of bias;
- Responsible and accountable data management across the lifecycle of a medical device.
Resources to Learn More
Below are 10 great resources to learn more. Download, read & share:
- "AI and the Future of Healthcare" - Read here.
- “Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare” - Read here.
- "The Future of Medical Device Regulation and Standards: Dealing with Critical Challenges for Connected, Intelligent Medical Devices" - Read here.
- "AI in health care: hope or hype?" - Listen to it here.
- "Scaling Smart Solutions with AI in Health: Unlocking Impact on High-Potential Use Cases" - Read here.
- “EU Regulation of Artificial Intelligence: Challenges for Patients’ Rights” - Read here.
- "From ‘AI to Law’ in Healthcare: The Proliferation of Global Guidelines in a Void of Legal Uncertainty" - Read here.
- "Patient-First Health with Generative AI: Reshaping the Care Experience" - Read here.
- "Effective Integration of Artificial Intelligence in Medical Education: Practical Tips and Actionable Insights" - Read here.
- "Data Governance in AI - Enabled Healthcare Systems: A Case of the Project Nightingale" - Read here.
If you have friends and colleagues working in healthcare, share these articles with them and help spread awareness of AI-related risks and challenges.
ShareThe AI-Copyright Trap
The article "The AI-Copyright Trap," by Carys Craig, is an excellent read for everyone interested in AI governance and those following the various AI copyright lawsuits. Here are some quotes:
"There are many good reasons to be concerned about the rise of generative AI(...). Unfortunately, there are also many good reasons to be concerned about copyright’s growing prevalence in the policy discourse around AI’s regulation. Insisting that copyright protects an exclusive right to use materials for text and data mining practices (whether for informational analysis or machine learning to train generative AI models) is likely to do more harm than good..."
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If you are interested in the intersection of privacy and AI, don't miss my live talk with Max Schrems. Register now. Here's why you should join us live:
- If you have been reading this newsletter for some time, you know that my view is that common AI practices - which became ubiquitous in the current Generative AI wave - are unlawful from a GDPR perspective. Yet, we have not seen a clear response from data protection authorities.
