Ensuring Ethical AI: Unpacking the Significance of Risk Analysis Under the European Union's Artificial Intelligence Act

In the rapidly evolving field of artificial intelligence (AI), the promise of significant advancements is accompanied by growing concerns about potential risks. In response to these concerns, the European Union introduces the revolutionary Artificial Intelligence Act (EU AI Act), presenting an innovative risk based framework to regulate AI models. This study offers a thorough exploration of the Act's fundamental concepts, structural components, and practical applications in the realm of ethical AI research and utilization. Additionally, the paper conducts a comparative analysis, juxtaposing the EU AI Act's approach with existing methodologies. Integrating a “criticality index” in AI frameworks lets stakeholders prioritize risk management based on potential harm, promoting responsible AI development in line with the EU AI Act.

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Published
2024-09-27
DOI
https://doi.org/10.1109/tensymp61132.2024.10752133
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Ensuring Ethical AI: Unpacking the Significance of Risk Analysis Under the European Union's Artificial Intelligence Act

Soja Salim, B. Soniya, J. S. Jayasudha
Ethics and Social Impacts of AI
article

Ensuring Ethical AI: Unpacking the Significance of Risk Analysis Under the European Union's Artificial Intelligence Act

Soja Salim, B. Soniya, J. S. Jayasudha
article en

Abstract

In the rapidly evolving field of artificial intelligence (AI), the promise of significant advancements is accompanied by growing concerns about potential risks. In response to these concerns, the European Union introduces the revolutionary Artificial Intelligence Act (EU AI Act), presenting an innovative risk based framework to regulate AI models. This study offers a thorough exploration of the Act's fundamental concepts, structural components, and practical applications in the realm of ethical AI research and utilization. Additionally, the paper conducts a comparative analysis, juxtaposing the EU AI Act's approach with existing methodologies. Integrating a “criticality index” in AI frameworks lets stakeholders prioritize risk management based on potential harm, promoting responsible AI development in line with the EU AI Act.

APJ Abdul Kalam Technological University (IN), Central University of Kerala (IN)
Openalex Percentile: Top 75%
Ethics and Social Impacts of AI
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