This section will be updated on a regular basis
WHO: Regulatory Considerations on Artificial Intelligence for Health
The World Health Organization (WHO) has released a new publication listing key regulatory considerations on artificial intelligence (AI) for health. The publication emphasizes the importance of establishing AI systems’ safety and effectiveness, rapidly making appropriate systems available to those who need them, and fostering dialogue among stakeholders, including developers, regulators, manufacturers, health workers, and patients.
Artificial intelligence act (briefing) - EU Legislation in Progress
European Parliament Think Tank - 28/06/2023
The European Commission tabled a proposal for an EU regulatory framework on artificial intelligence (AI) in April 2021. The draft AI act is the first ever attempt to enact a horizontal regulation for AI. The proposed legal framework focuses on the specific utilisation of AI systems and associated risks. The Commission proposes to establish a technology-neutral definition of AI systems in EU law and to lay down a classification for AI systems with different requirements and obligations tailored on a 'risk-based approach'. Some AI systems presenting 'unacceptable' risks would be prohibited. A wide range of 'high-risk' AI systems would be authorised, but subject to a set of requirements and obligations to gain access to the EU market. Those AI systems presenting only 'limited risk' would be subject to very light transparency obligations. The Council agreed the EU Member States' general position in December 2021. Parliament voted on its position in June 2023. EU lawmakers are now starting negotiations to finalise the new legislation, with substantial amendments to the Commission's proposal including revising the definition of AI systems, broadening the list of prohibited AI systems, and imposing obligations on general purpose AI and generative AI models such as ChatGPT. Second edition. The 'EU Legislation in Progress' briefings are updated at key stages throughout the legislative procedure.
By Pranav Rajpurkar, Emma Chen, Oishi Banerjee and Eric J. Topol, Nature Medicine - 20 Jannuary 2022
In the years ahead, AI is poised to broadly reshape medicine. Just a few years since the first landmark demonstrations of medical AI algorithms that are able to detect disease from medical images at the level of experts the landscape of medical AI has matured considerably. Today, the deployment of medical AI systems in routine clinical care presents an important yet largely unfulfilled opportunity, as the medical AI community navigates the complex ethical, technical and human-centered challenges required for safe and effective translation.
This article discusses key findings from a 2-year weekly effort to track and share key developments in medical AI, while addressing several promising avenues for novel medical AI research, including non-image data sources, unconventional problem formulations and human–AI collaboration. The article also considers serious technical and ethical challenges in issues spanning from data scarcity to racial bias.