The Socio-Ethical Dynamics of Artificial Intelligence in Healthcare

Abstract

The study expands from large language models to cutting-edge quantum Artificial Intelligence (AI), highlighting the transformative potential of AI in the healthcare industry. Despite the promising benefits of the technology, there are some socio-ethical issues that arise such as data privacy concerns in healthcare and the possibility of employing AI-driven protein engineering for military usage. This study highlights the need for strict regulations, ethical concerns and global collaboration to ensure responsible AI development. Most notably, the study understands and reflects upon the European Union’s Artificial Intelligence Act as an illustrative case of regional approaches to balancing innovation with societal well-being. While Artificial Intelligence’s presence continues spreading through the world across the healthcare industry, this article aims to promote a unified relationship where moral principles and social values lead the path of AI advances.

Keywords:Artificial Intelligence; Bioethics; Healthcare; Machine Learning; Medical Diagnostics; Ethics

Abbreviations:AI: Artificial Intelligence; LLM: Large Language Model; GPT-4: Generative Pre-trained Transformer 4; QAI: Quantum AI; GAI: General AI; HER: Electronic Health Record; ML: Machine Learning; BLM: Bipartite Local Models; BTWC: Biological and Toxin Weapons Convention; CWC: Chemical Weapons Convention.