Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Navigating the Nexus: AI in Healthcare - Unraveling Policies, Ethics, and the Pursuit of Responsible, Trustworthy Systems Across Time

Author : Divyansh Choubisa

Date of Publication :15th March 2025

Abstract: This research paper delves into the intricate interplay between artificial intelligence (AI) and healthcare, unraveling the evolution of policies, ethical considerations, and the pursuit of responsible and trustworthy systems across time. Beginning with a historical perspective, I traced the trajectory of AI in healthcare, scrutinizing past policies and ethical frameworks to glean insights for contemporary challenges. The paper meticulously examines the current landscape, scrutinizing existing policies, ethical frameworks, and the trustworthiness of AI systems deployed in healthcare settings. Ethical dilemmas and challenges, including privacy concerns, bias, and informed consent, are dissected to shed light on pressing issues. A comprehensive policy analysis explores global variations, identifying gaps and proposing recommendations for policy improvement. To pave the way for a future where AI seamlessly integrates into healthcare ethically, I explored strategies for building trustworthy systems. Emphasizing transparency, explainability, and human-AI collaboration, the research navigates the complexities of ensuring responsible AI applications in healthcare. Anticipating future developments, the paper probes into ethical and policy challen ges on the horizon, offering a roadmap for stakeholders to navigate the evolving landscape. Case studies showcase noteworthy AI implementations, their impact on policies, ethics, and system trustworthiness, providing valuable lessons for future deployments. In conclusion, the paper synthesizes key findings, issues a call to action, and envisions a future where AI and healthcare coalesce responsibly for the betterment of patient outcomes and societal well-being.

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