Ethical, bias-free, and sensible use of artificial intelligence (AI) in healthcare
The use of new technologies in healthcare has always been controversial. With speeding up of technological innovations in the recent decades, this can even create more controversies around the use of newer technologies like artificial intelligence. The use of artificial intelligence (AI) in healthcare has also been a subject of multiple ethical debates. Biased algorithms are surfacing more and more which makes it essential for all stakeholders of healthcare industry to make sure that the AI technology does not impact patients and their families in a negative way.
The field of artificial intelligence in healthcare has been relatively new, with the first research on it starting in early 2000s. The main objective of artificial intelligence (AI) in healthcare is to assist humans in performing tasks like diagnosis, prognosis, prevention, and prediction of health states of patients. Recently, AI is more and more used in medical and health issues that are previously undetermined or the boundaries of which are unknown or vague for health providers. The more AI is used in healthcare, the more it can raise concerns regarding how it will be used.
There have been many debates around the use of AI in healthcare. One of the main problems facing the use of AI is that it is prone to bias because if humans are involved in creating the algorithms, they can unconsciously let their own values and preferences impact the outcomes. In addition, it is likely that people who are not aware of how the technology works may think that the higher they connect to the AI, the more accurate it is. There can be numerous other problems like trust, privacy, and liability.
In addition, because computers are not able to interpret emotions or describe and understand them in a human way, it makes them susceptible to problems when they work with humans. Experts also consider bias as one of the biggest challenges facing AI. Prejudice can also affect how artificial intelligence algorithms can be used in healthcare systems that lack awareness of potential biases and differences in population groups and communities across space and time.
At Indimed, we have made it our priority to tackle ethical issues regarding the use of AI in healthcare. The issue of bias in AI algorithms is also a huge undertaking by our team. We are eager to work with experts who have the same interests in doing research and educating stakeholders regarding these issues. If you are an expert who would like to talk about your interest in ethical, bias-free or sensitive use of artificial intelligence technology, or if you are a health provider who is interested in learning more about these issues, please contact us.