Artificial intelligence is becoming an increasingly visible part of healthcare. From administrative workflows and clinical decision support to remote monitoring and wellness technologies, organizations are exploring how AI can help process information more efficiently and provide greater visibility into health-related data. Yet as adoption accelerates, one challenge continues to influence whether these technologies gain meaningful acceptance. Trust has become […]<br /> This story continues at The Next Web [...]
Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]
The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably mo [...]
Meta’s Oversight Board is coming under new pressure to respond to the company’s recent policy changes on fact-checking and moderation, which were made without input from the advisory group. A coal [...]
Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their interna [...]
Less than two weeks before Donald Trump’s inauguration, Meta announced sweeping changes to its content moderation procedures, reportedly at the behest of Mark Zuckerberg and a small group of advisor [...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]