With tools like InstructBLIP enabling AI-driven medical image analysis, where should we draw the line between augmentation and replacement of clinical decision making?
AI ethics in biomedicine focuses on ensuring responsible development and use of AI in healthcare, addressing concerns like data privacy, algorithmic bias, and patient autonomy. It's crucial to mitigate potential harms and maximize benefits for individuals and society.
Artificial Intelligence (AI) is becoming more and more important in all sectors and dominates almost all aspects of data-centric research today. It is envisaged that AI will determine the future in medicine and biomedical research . However, it is widely recognized that AI brings about not only a range of advantages, opportunities, and promises, but also risks and perils. Thus, in a euphoric “gold digger” mood it is of utmost importance not to forget about the ethical aspects and consequences of AI to ensure that AI can “work for the good of humanity, individuals, societies and the environment and ecosystems” as formulated by the UNESCO recently.
Article A Literature Review on Ethics for AI in Biomedical Research ...
Lotfali Bolboli , With AI tools, capable of analyzing medical images, where should we pull the line between making clinical decisions and changing it? This highlights a main moral stress in biomedical AI: while the enhanced intelligence can greatly increase clinical speed and accuracy, the risk of reducing overlapping professional decisions. The Prompt made a call to clearly installed the guardril, making sure that the AI serves as an assistant partner rather than an autonomous option. This indicates widespread concerns - such as transparency, accountability, and maintaining a doctor's monitoring - who are central for the integration of AI in healthcare. Ultimately, it invites reflection on designing the AI system that maintains medical morality by promoting innovation.