Ethical, Legal, And Societal Implications Of AI In Medicine
- IJLLR Journal
- 16 hours ago
- 2 min read
Kirti Upadhyaya, National Forensic Sciences University
ABSTRACT
Incorporating artificial intelligence (AI) into healthcare is a revolutionary paradigm change beyond technical progress to cover basic issues regarding medical practice, human connections, and societal values(Faiyazuddin et al., 2025).
This thorough study looks at artificial intelligence use in important medical areas, including pathology, mental health, drug discovery, robotic surgery, infectious disease control, radiology, genetic engineering, and clinical medicine(Ahmad et al., 2021). The research indicates that although AI systems exhibit astounding powers in diagnostic accuracy, therapy optimization, and healthcare accessibility, their application produces intricate sociotechnical consequences that affect human agency, professional identity, legal accountability, and social standards.
The main research question revolves around the complex difficulties of ethical AI integration in medicine, where conventional systems have trouble fitting algorithmic decision-making methods that are usually opaque and probabilistic instead of deterministic.
The study goals are identifying important ethical, legal, and social effects of medical artificial intelligence across several specialties; investigating the ongoing issue of algorithmic bias impacting healthcare equality; analysing the change of doctor-patient relationships through algorithmic intermediaries; and assessing legal structures in handling medical liability and accountability related to AI.
One major knowledge gap concerns how to strike an equilibrium between the efficiency increases provided by artificial intelligence and the maintenance of compassionate, individualized care that defines conventional medical practice.
The research questions How does algorithmic bias in medical AI contribute to healthcare disparities across diverse populations? What legal frameworks are necessary to ensure clear accountability in AI-assisted medical decision-making? How is the traditional doctor-patient relationship being transformed by AI-mediated clinical interactions? What ethical safeguards are essential for the responsible use of AI in sensitive areas such as genomics and mental health?
