Ethical considerations of using artificial intelligence in healthcare
Gaillard, Nathan (2023)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023120434136
https://urn.fi/URN:NBN:fi:amk-2023120434136
Tiivistelmä
This bachelor’s Thesis explores the necessity of frameworks in the use of artificial intelligence (AI) in healthcare settings, emphasizing the ethical implications and responsible implementation. The emergence of AI tools and the COVID-19 pandemic have raised significant ethical concerns related to bias, transparency, and accountability in healthcare.
The research is composed of a comprehensive literature review focusing on the current use of AI as well as the status of ethical questions and solutions in medicine. It also includes qualitative interviews and a survey. This is made to gain a broad understanding of the topic from multiple perspectives. This approach allows us to align ethical guidelines with the values, needs and concerns of most people. This also fosters interdisciplinary dialogue.
Key findings highlight the need for a universal ethical framework in using AI in healthcare. The necessity for transparency, informed consent, participatory design, adequate training for medical professionals, balance between technological prowess and human element, have all been identified during the study. These insights help decision-makers, researchers, healthcare professionals, as well as actors from other sectors who might be confronted with similar ethical questions, adopt safely AI technology.
In conclusion, the thesis proposes a set of guidelines for the safe and ethical implementation and use of AI in healthcare. This serves as a tool for stakeholders to understand AI in the medical and pharmaceutical fields responsibly, considering the diverse viewpoints of the three main actors noted in the study: patients, medical professionals, and AI developers.
The research is composed of a comprehensive literature review focusing on the current use of AI as well as the status of ethical questions and solutions in medicine. It also includes qualitative interviews and a survey. This is made to gain a broad understanding of the topic from multiple perspectives. This approach allows us to align ethical guidelines with the values, needs and concerns of most people. This also fosters interdisciplinary dialogue.
Key findings highlight the need for a universal ethical framework in using AI in healthcare. The necessity for transparency, informed consent, participatory design, adequate training for medical professionals, balance between technological prowess and human element, have all been identified during the study. These insights help decision-makers, researchers, healthcare professionals, as well as actors from other sectors who might be confronted with similar ethical questions, adopt safely AI technology.
In conclusion, the thesis proposes a set of guidelines for the safe and ethical implementation and use of AI in healthcare. This serves as a tool for stakeholders to understand AI in the medical and pharmaceutical fields responsibly, considering the diverse viewpoints of the three main actors noted in the study: patients, medical professionals, and AI developers.