Artificial intelligence (AI) has made remarkable strides in the healthcare industry, bringing with it the promise of more efficient, accurate, and personalized care. From diagnostic tools to treatment planning and operational efficiency, AI is being integrated across nearly every facet of healthcare. However, with such tremendous potential comes the responsibility to ensure that AI models…
AI governance is evolving rapidly, and the recent policy shifts at Anthropic serve as a reminder of just how fluid and reactionary this space can be. In a matter of days, Anthropic removed its commitments to bias mitigation and non-discrimination, only to reinstate them following public scrutiny. This back-and-forth raises important questions about the stability…
In healthcare, the stakes are high. Decisions about diagnosis, treatment, and care delivery directly impact patient outcomes. But despite our best intentions, bias has historically been a significant issue in medical practice—often leading to unequal treatment for individuals based on race, gender, socioeconomic status, or other factors. Whether implicit or explicit, this bias can have…