A revolutionary change has come into existence in our society due to the rapid growth of technology. Tech experts are trying to invent new robotics and machinery to perform specific tasks that humans cannot achieve accurately. Artificial Intelligence is one of the consequences of these attempts.
What is Artificial Intelligence?
John McCarthy was the first person who uses the term “Artificial Intelligence” in 1956. It is actually a replacement for human intelligence. It performs various functions with its complex computer algorithm system.
Machine learning and deep learning are the two main applications of artificial intelligence. Many other applications of artificial intelligence are also continuously performing several prognostications of different diseases in the medical field. Google translator, face identification in-camera, receive online orders, and approve credit card transactions are some other usages of AI.
Ethical Concerns
For using AI, you should know about its ethical concerns. Many instructions and admonishments are dickering with the problem of ethical artificial intelligence. The European Commission has brought out significant guidelines for ethical AI. The prime focus of its suggestions is principles of ethical artificial intelligence in the medical industry. Let us discover all principles one by one.
1. Philanthropy and non-sensuality principle
If you are using artificial technology, you need to be aware of its ethics. To preserve human dignity, you make sure that AI is beneficence for individual patients in the field of medicines.
The process of prognostication can defile the guidelines of ethical artificial intelligence because it gives false hope to patients. You can get rid of this puzzling situation by keeping information personalize. After the deep analysis of the report of a patient provided by the AI technology, describe a patient’s condition. It can be very valuable to escape from probabilistic and unethical AI methods.
Recurrent ANNs are using the new techniques of Artificial Intelligence. They are utilizing more probable information through their datasets. If a person is in the Intensive care unit and his condition is not stable, doctors use ethical AI to predict his state. It proves very beneficial for individual patients.
2. Equality Principle
Unintentional injustice is a significant drawback of AI technology for individuals. The algorithm system of AI technology can lead the issues of inequalities and discrimination among different patients. The two main problems present below.
- There are many chances that AI algorithm yields fake results. It can mention the rare life probabilities for those patients related to discriminator biomarkers like the weight of the patient’s body. If you continue to detect, test and audit the AI results, you can quit this AI risk.
- Different cultures drive cultural biases. Humans train artificial intelligence model. So, there are many chances that they accidentally build an algorithm that affects specific community and environment.
The problems mentioned earlier can solve if training of AI models excludes age, gender and environmental changes. For the establishment of patients’ health and dignity, you should train unbiased AI models. It will help to accurate prognostication of the course of any disease and supplies justice among patients.
3. Autonomy of patients as an AI principle
The respect of patients’ decision regarding their critical condition is necessary for the ethical use of AI technology. Sometimes, the decision of a patient and his caretakers creates a considerable risk of a patient’s life. This situation leads to the ethical examination of personal behavior.
If you predict patients’ health through AI technology, you need to know that it may be a false report. If you try to solve this falsifying state of a patient, it will not be possible through artificial technology.
According to the empirical research, the patients do not fully trust the physician’s probabilities because they estimated results through AI. So you should present possibilities of recovery in such a way that prove non-maleficence and beneficence for patients.
If you disagree with your patient decision, AI cannot be able to resolve your issue. You can find the solution to this issue by mutual agreement. You can discuss prognostications with your patient for getting approval of your point of view.
4. Explicable principle
The principle of explicability is recently added to the list of ethical artificial intelligence in medical science. It is interlinked with all other AI principles.
Often, we face issue in the results of different patients’ cases. Actually, it happens due to the uncompleted input to AI models which are providing output.
Doctors handle the algorithm tools as “black boxes,” if they are not aware of the step of critical reflection. After analyzing the prognostication provided by the intensivists, a patient can appeal to justify the result. A patient can take this step if they feel trust issues regarding the probabilities of their report.
Some data science experts say avoiding AI technology if you want to build patients’ trust and get the authentic information. If you are still willing to use ethical artificial intelligence, test your AI models timely. It will help you to avoid inadvertently false prognostication.
5. Confidentiality
Privacy is still an essential aspect for humans. When you are dealing with patients, you will definitely use their data in your AI algorithm system. So you need to care about the sensitive information of your patients.
Human rights are a crucial part of the constitution of any country. In Europe, General Data Protection Regulation (GDPR) adds new guidelines regarding data processing for ethical artificial intelligence technology. These instructions guide you to avoid the unethical use of artificial intelligence.
Final Thoughts
The sole purpose behind this article to inform you about ethical artificial intelligence. The abovementioned ethical considerations show that AI is an important technology that provides comfort in our lives through probabilities and has some drawbacks in the medical field too.
If we further improve and refine this artificial intelligence system, there is no doubt that it will provide error-free prognostications about the disease of the patients. AI model can become the correct element in the intensive care unit of any hospital. But we should implement all these artificial intelligence principles with the legal ethics of medical science.
