Raw LLM Responses

Dr. Saidy’s talk regarding artificial intelligence(AI) in healthcare made the argument that AI can provide many benefits including making hospitals more efficient and can improve access to care by providing accurate decision-making tools. Interestingly, AI can factor in the outcomes of thousands of other patients to determine what will work best for the patient based on their individual circumstances by comparing to other patient outcomes with similar circumstances. This could provide insight into how physicians determine what treatment or procedure may be best for their patients given their patient’s specific circumstances. However, I argue that no two people and their specific circumstances are going to be identical and guarantee an identical outcome. AI could be used to make recommendations but there could be circumstances in that AI fails to factor into its algorithm even if AI continues to evolve over time and get better at its predictions for healthcare outcomes. An ethical consideration when considering implementing AI into healthcare is that AI systems can have a significant impact on patient autonomy and decision-making. This would impact patient autonomy if AI systems are used to make decisions about diagnosis, treatment, or clinical outcomes without human input. I think it’s important that AI systems are designed and implemented in a way that respects patient autonomy and preferences so for example, the patient still gets to decide what treatment would work best when presented with all the treatment options and the risks and benefits for each. Also, if the AI algorithm is not up to date or if there is an issue with the learning process of the AI system, it could lead to the patient receiving an incorrect diagnosis or an incorrect treatment which would not lead to improved healthcare outcomes. These unintended consequences or errors due to relying on the AI system to guide diagnosis and treatment can put patient safety at risk and could cause harm to the patient as a result. This relates to the ethical principle of nonmaleficence which requires that healthcare providers do no harm to their patients. In order to comply with the principle of nonmaleficence, AI systems need to be designed and implemented in a way that minimizes the risk of harm to patients, and any potential harm is carefully considered and weighed against the potential benefits of using the AI system. Dr. Saidy brought up a valid point that Ai systems often don’t use data sets that represent people of all different races. Therefore, when AI predicts an outcome for someone of Asian race from a predominately white male data set, the prediction made by the AI system is likely to be less accurate. AI systems therefore can inadvertently perpetuate biases and discrimination against people if they are trained on biased or incomplete data. Overall, there are benefits to implementing AI and there are also risks and challenges that need to be further investigated before AI is allowed to fully predict and guide outcomes.