A common misconception is that AI, or artificial intelligence, refers to one specific piece of technology. Instead, AI refers to a vast collection of machinery and software that are designed to better the lives of people everywhere. While large strides have been made to make AI accessible, it isn’t available in many lower-income areas, such as developing countries.
Many different industries rely on the help of AI since it does a job as well as, or sometimes better, than humans can do it. “Personally, I believe that AI should not be used in the job field. I think that it takes away job opportunities from actual humans,” states sophomore Keegan Huss.
In the medical industry, there are four ethical questions: “Autonomy, beneficence, nonmaleficence, and justice in all aspects of health care,” claims the National Library of Medicine.
One of the industries that uses AI is the healthcare industry. AI in healthcare is a widely debated topic, according to the Library of Medicine.
One of the ethical problems being debated is the lack of communication between patients and doctors that AI causes. “Before integrating artificial intelligence with the healthcare system, practitioners and specialists should consider all four medical ethics principles, including autonomy, beneficence, nonmaleficence, and justice in all aspects of healthcare,” reports the National Library of Medicine.
“While I feel like AI can benefit the efficiency of helping people in healthcare; I believe there is a large possibility it can cause a bigger issue regarding nonmaleficence. AI can make mistakes, given it cannot comprehend entire situations like humans can,“ explains sophomore Lyla Deckman.
The National Library of Medicine claims, “AI applications in healthcare have literally changed the medical field, including imaging and electronic medical records (EMR).”
AI has increased the efficiency and precision of “laboratory diagnosis, treatment, augmenting the intelligence of the physicians, new drug discovery, providing preventive and precision medicine, biological extensive data analysis, speeding up processes, data storage and access for health organizations, which shows the massive potential AI has in the healthcare industry,” reports the National Library of Medicine.