Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Syukrina, Ulfia
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Materials Science & Nanotechnology Medicine & Pharmacology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Artificial Intelligence Risk Identification: Challenges, Impacts, and Mitigation Strategies Syukrina, Ulfia; Nugraha, I Gde Dharma
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.109

Abstract

Artificial Intelligence (AI) has rapidly transformed various industries, providing significant benefits in automation, decision-making, and efficiency. However, AI also presents numerous risks, including bias, lack of transparency, security vulnerabilities, and regulatory challenges. This study employs a Systematic Literature Review (SLR) approach to identify and categorize key risks associated with AI implementation. The findings indicate that AI risks can be classified into technological, social, and regulatory aspects, each posing unique challenges. Algorithmic bias, privacy concerns, and the lack of global AI governance frameworks highlight the need for more robust risk mitigation strategies. To address these challenges, this study recommends enhancing fairness-aware AI models, strengthening AI governance, and increasing public AI literacy. Future research should focus on improving AI accountability, security measures, and ethical guidelines to ensure responsible AI adoption.
Co-Authors I Gde Dharma Nugraha