1. The use of artificial intelligence both generally and in the health care field has exploded over the last decade. AI is now used in the health care field in areas like disease diagnostics, patient engagement, and administrative tasks. In disease diagnostics specifically, AI is being used to make life-altering diagnoses. This technology, however, does not come without its risks. Specifically, inherent bias is deeply rooted in the AI algorithms. This is because humans are inherently bias, and humans are the people creating the AI algorithms. The problem is, however, is that there are no federal regulations to mitigate the risks of the use of AI in disease diagnostics, and there doesn’t seem to be any regulations on the way any time soon. This means people’s diagnoses are subject to a patchwork of state regulations.
  2. Washington is attempting to regulate AI in the public sector. While this is an important step forward, it fails to address the use of AI in health care in the private sector. If Washington wants to effectively regulate AI in health care, it needs to extend its regulations into the private sector – which is where the majority of people obtain health care. To sufficiently regulate Ai in health care, Washington must expand its scope and look to other states’ proposed regulation to make sure people’s lives are protected.