Laws for Better Implementation of Artificial Intelligence

Artificial Intelligence (AI) is revolutionizing numerous sectors, including healthcare, finance, transportation, agriculture, entertainment and education. This paper examines the crucial need for comprehensive laws and regulations to ensure the ethical and effective implementation of AI technologies. By conducting a comparative analysis of AI regulatory frameworks in regions such as the European Union, United States, United Arab Emirates and China, we identify fundamental principles and best practices for AI governance. Main focus areas include safeguarding data privacy, mitigating biases, addressing security issues and upholding ethical standards. The paper advocates for a balanced approach that encourages innovation while protecting societal interests, emphasizing the necessity of international collaboration and adaptable legal structures. Robust regulatory measures are essential for maximizing AI’s benefits and minimizing its potential risks and adverse impacts on society.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23737719
Primary Topic
Digitalization, Law, and Regulation
Type
preprint
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Laws for Better Implementation of Artificial Intelligence

Tanvi Rawat, Ritik Choudhary, Ankit Verma
3 links
Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
preprint

Laws for Better Implementation of Artificial Intelligence

Tanvi Rawat, Ritik Choudhary, Ankit Verma
preprint en

Abstract

Artificial Intelligence (AI) is revolutionizing numerous sectors, including healthcare, finance, transportation, agriculture, entertainment and education. This paper examines the crucial need for comprehensive laws and regulations to ensure the ethical and effective implementation of AI technologies. By conducting a comparative analysis of AI regulatory frameworks in regions such as the European Union, United States, United Arab Emirates and China, we identify fundamental principles and best practices for AI governance. Main focus areas include safeguarding data privacy, mitigating biases, addressing security issues and upholding ethical standards. The paper advocates for a balanced approach that encourages innovation while protecting societal interests, emphasizing the necessity of international collaboration and adaptable legal structures. Robust regulatory measures are essential for maximizing AI’s benefits and minimizing its potential risks and adverse impacts on society.

Zenodo (CERN European Organization for Nuclear Research)
University of Professional Studies (GH)
Peace, justice, and strong institutions
Digitalization, Law, and Regulation
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Laws for Better Implementation of Artificial Intelligence — Tanvi Rawat, Ritik Choudhary, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS