Summary of Aligning Xai with Eu Regulations For Smart Biomedical Devices: a Methodology For Compliance Analysis, by Francesco Sovrano et al.
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis
by Francesco Sovrano, Michael Lognoul, Giulia Vilone
First submitted to arxiv on: 27 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses the concerns surrounding the integration of Artificial Intelligence (AI) in medical devices by investigating the use of Explainable AI (XAI) methods to comply with European Union regulations. The study categorizes smart devices by their control mechanisms, analyzes EU regulations, and classifies XAI methods by their explanatory objectives. By matching legal explainability requirements with XAI explanatory goals, the paper determines which algorithms are suitable for different types of medical devices. Practical case studies on neural implants demonstrate the alignment of XAI applications in bioelectronics with EU regulations. This study fills a gap in ensuring AI innovations advance healthcare technology while adhering to legal and ethical standards. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps make sure that artificial intelligence is used safely and fairly in medical devices, which are very important for people’s health. The paper looks at how to explain what these intelligent machines are doing, so we can trust them. It does this by looking at different types of devices, like those used for chronic disease management or advanced prosthetics, and matching the needs of these devices with special AI methods that can explain themselves. |
Keywords
» Artificial intelligence » Alignment
