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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Ethical Challenges of Artificial Intelligence: Balancing Innovation, Accountability, and Human Values

Authors: Sadani Rohit Narayankar; Bhagvat Deshmukh;

Ethical Challenges of Artificial Intelligence: Balancing Innovation, Accountability, and Human Values

Abstract

Artificial Intelligence (AI) is transforming industries, societies, and everyday life, offering unprecedented innovation and efficiency. However, its rapid adoption raises significant ethical challenges that demand careful examination. Issues such as algorithmic bias, lack of transparency, privacy invasion, job displacement, and decision-making accountability have sparked debates about AI’s impact on human values and societal norms. This study explores the ethical dilemmas associated with AI development and deployment, focusing on how innovation can be balanced with responsibility and human-centric principles. By reviewing existing literature, analyzing real-world AI applications, and examining regulatory frameworks, the research highlights the need for transparent, fair, and accountable AI systems. The findings aim to provide insights for policymakers, developers, and organizations to implement AI ethically while ensuring it aligns with human values, fosters trust, and mitigates potential harm to individuals and communities.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green