
The Stakeholder Alignment Problem in Healthcare AI
As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
In trading my Apple Watch for a simple Casio, I'm rediscovering what it means to listen to my body rather than outsourcing my health decisions to algorithms and activity rings.
Recent research reveals how human-centered AI implementation in healthcare can significantly improve patient outcomes and doctor-patient communication, paving the way for a more efficient and effective medical future.
As automation continues to advance and permeate the workplace, organizations are grappling with how to integrate these technologies in a way that optimizes efficiency and productivity while still empowering and engaging employees. One promising approach that has emerged in recent years is adaptable automation, which allows workers to dynamically adjust