A Blueprint for Responsible AI - Public Health Sector

© 2024 by IJCTT Journal
Volume-72 Issue-3
Year of Publication : 2024
Authors : Lakshmanan Sethu Sankaranarayanan
DOI :  10.14445/22312803/IJCTT-V72I3P113

How to Cite?

Lakshmanan Sethu Sankaranarayanan, "A Blueprint for Responsible AI - Public Health Sector," International Journal of Computer Trends and Technology, vol. 72, no. 3, pp. 91-98, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I3P113

The integration of Artificial Intelligence (AI) into public health shows significant promise in enhancing disease surveillance, predicting outbreaks, and improving healthcare delivery. However, ethical considerations and potential societal impacts require a comprehensive framework for responsible implementation. This article explores "Responsible AI for the Public Health Sector," emphasizing ethical principles, privacy safeguards, transparency, and equity. Through case studies and ethical frameworks, successful implementations are highlighted, along with challenges in integrating AI into public health practices. The article stresses the moral imperative of ensuring AI in public health serves the greater good, with a focus on accountability, fairness, and community engagement. The aim is to contribute to ongoing discussions on responsible AI, fostering a future where technological innovations align with public health objectives and societal well-being.

Artificial Intelligence (AI), Disease Surveillance, Ethical Considerations, Ethical Frameworks, Healthcare Delivery, Outbreak Prediction, Privacy Safeguards and Public Health.


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