Abstract

The rapid advancement of Artificial Intelligence (AI) has brought transformative changes across various
sectors, including healthcare. In the context of corporate medical negligence, AI systems are increasingly
being integrated into clinical decision-making, diagnosis, treatment planning, and administrative functions.
While these systems hold the potential to enhance patient outcomes and improve efficiency, they also raise
significant ethical and legal concerns, especially when errors or malfunctions occur. This paper explores the
ethical dimensions and legal responsibilities associated with the deployment of AI in healthcare settings,
focusing on instances of corporate medical negligence.
The ethical challenges are multifaceted, involving issues such as accountability, bias in AI algorithms,
transparency, and the potential for dehumanizing patient care. At the same time, legal frameworks struggle to
keep pace with technological innovations, often leaving gaps in assigning liability when AI systems are
implicated in medical errors. The analysis delves into existing legal structures, such as tort law, medical
malpractice, and corporate responsibility, to understand how they apply to AI-driven decisions. Moreover, it
evaluates the role of healthcare institutions in ensuring the ethical deployment of AI, including proper
training, oversight, and regulatory compliance. The paper proposes frameworks for balancing innovation
with accountability, suggesting that clear legal definitions of AI’s role in medical practice and robust ethical
guidelines for its use are essential to mitigate risks of harm and ensure patient safety. Ultimately, the paper
argues that a collaborative approach between technologists, healthcare providers, ethicists, and policymakers
is essential to establish a legal and ethical framework that protects patients and holds corporations
accountable in the face of AI-induced medical negligence.