Converging principles, diverging systems: the real challenge of global AI governance
AI governance success may hinge less on how many frameworks exist and more on how effectively they interoperate in real-world practice, writes Vishnu Narayan.
Independent intelligence on healthtech across Asia and the Middle East
AI governance success may hinge less on how many frameworks exist and more on how effectively they interoperate in real-world practice, writes Vishnu Narayan.
The initiative argues that increasing human wellbeing should be the guiding principle for AI research, with security as a baseline requirement. It also stresses that all countries should participate equally…
AI in healthcare doesn't simply cut costs, writes Vishnu Narayan: it reorganises them. Value depends on governance, incentive alignment, and system readiness, not technology alone.
Daryush Ashjari, CTO and VP of Solutions Engineering, APJ at Nutanix unpacks how healthcare organisations need to fix their digital foundations to realise AI's promise in the sector.
HealthTechAsia’s Vishnu Narayan writes that digital health’s future depends less on tech itself, and more on the systems and capabilities built around it, bringing both challenge and opportunity.
APEC discussions reflect growing consensus that healthtech adoption must be responsibly governed, with accountability frameworks keeping pace with innovation.
Is AI in healthcare regulated for the world it is actually entering? Vishnu Narayan argues that global principles have converged — but governance must now catch up with deployment realities.
Regulatory frameworks for artificial intelligence in healthcare are developing rapidly across multiple jurisdictions but remain inconsistent, under-enforced, and poorly coordinated.
Indonesia invited global stakeholders to partner with SatuSehat and contribute to its emerging healthcare AI framework — across knowledge and expertise, resources, and implementation.