International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 186 - Issue 38 |
Published: September 2024 |
Authors: Mayur Jariwala |
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Mayur Jariwala . A Comparative Analysis of the EU AI Act and the Colorado AI Act: Regulatory Approaches to Artificial Intelligence Governance. International Journal of Computer Applications. 186, 38 (September 2024), 23-29. DOI=10.5120/ijca2024923954
@article{ 10.5120/ijca2024923954, author = { Mayur Jariwala }, title = { A Comparative Analysis of the EU AI Act and the Colorado AI Act: Regulatory Approaches to Artificial Intelligence Governance }, journal = { International Journal of Computer Applications }, year = { 2024 }, volume = { 186 }, number = { 38 }, pages = { 23-29 }, doi = { 10.5120/ijca2024923954 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2024 %A Mayur Jariwala %T A Comparative Analysis of the EU AI Act and the Colorado AI Act: Regulatory Approaches to Artificial Intelligence Governance%T %J International Journal of Computer Applications %V 186 %N 38 %P 23-29 %R 10.5120/ijca2024923954 %I Foundation of Computer Science (FCS), NY, USA
This comparative study examines the EU AI Act and the Colorado AI Act, focusing on their regulatory approaches to artificial intelligence. The EU AI Act provides a comprehensive framework with a risk-based classification, emphasizing transparency, accountability, and the protection of fundamental rights across diverse sectors. It aims to set a global benchmark for AI governance, influencing international standards. The Colorado AI Act targets high-risk AI systems, prioritizing consumer protection, fairness, and the prevention of algorithmic discrimination. It mandates detailed documentation, risk management, and transparency measures to ensure ethical AI deployment. This analysis explores the impacts of each act on innovation, industry practices, and consumer protection, as well as their potential global influence. The findings highlight the strengths and challenges of both regulatory approaches, offering insights into future directions for AI governance and the potential for harmonizing international AI regulations.