AI Adoption Surges, Governance and Safety Debated

AI adoption in healthcare and other sectors has surged, with recent data showing that healthcare adoption rates have nearly doubled over the past year as clinicians leverage AI to address burnout, administrative burdens, and systemic inequities. Venture capital investment is fueling innovations aimed at automating workflows and integrating fragmented data. Despite these advances, challenges such as governance gaps, lack of training, and persistent trust issues remain, particularly in light of high failure rates during the so-called 'Slopocene' era of AI development. Experts emphasize the need for 'human-in-the-loop' oversight to ensure safety and ethical judgment. Globally, leaders are advocating for collaborative, multi-governance frameworks to reduce disparities and promote AI as a public good. Leading researchers also warn that as AI models evolve, their reasoning may become harder to monitor, increasing the need for new safety and transparency measures.