What type of study is this?

This is a Literature Review study.

September 10, 2025

Ethical Challenges and Solutions in the Deployment of Artificial Intelligence Sys-tems

Key Points

AI deployment raises ethical challenges like algorithmic bias and data privacy concerns, highlighting the need for new frameworks.
Key solutions include implementing explainable AI and fairness-aware algorithms to promote transparency and accountability.
The analysis integrates interdisciplinary perspectives from technology, ethics, and law to inform responsible AI practices.
Regulatory oversight and inclusive data practices are essential for fostering equitable AI deployment and mitigating job displacement.

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has introduced transformative possibilities across sectors such as healthcare, finance, transportation, and education. However, the widespread deployment of AI systems also presents a range of ethical challenges, including algorithmic bias, data privacy concerns, lack of transparency, accountability issues, and the potential for job displacement. This article explores the core ethical dilemmas associated with AI adoption and provides a critical analysis of existing frameworks and policy measures aimed at addressing them. The study further examines practical solutions such as explainable AI (XAI), fairness-aware algorithms, regulatory oversight, and inclusive data practices. By integrating interdisciplinary perspectives from technology, law, and ethics, this paper aims to guide researchers, developers, and policymakers in fostering responsible and equitable AI deployment.

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Cite This Study

Naripeddy et al. (Mon,) studied this question.

synapsesocial.com/papers/68c1ad4f54b1d3bfb60e4cac https://doi.org/https://doi.org/10.60087/jaigs.v8i02.392

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