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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Franciskus Antonius Alijoyo
STMIK LIKMI, Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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AI-BASED APPROACH TO RISK MANAGEMENT IN SUPPORT OF SUSTAINABLE DEVELOPMENT GOALS Franciskus Antonius Alijoyo
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i1.2579

Abstract

Artificial intelligence (AI)-based approaches to risk management have shown great potential in supporting the achievement of sustainable development goals. AI provides the ability to detect, analyse and respond to risks much more effectively than traditional methods due to its ability to process data from multiple sources with high speed and accuracy. The integration of AI enables better identification of risk patterns, thereby increasing responsiveness and adaptability in addressing global challenges. However, the application of AI also requires attention to data quality, as well as the risk of algorithmic bias, which demands human oversight and deep ethical considerations. With the right management strategy, AI can play a key role in ensuring more efficient, equitable and inclusive sustainable development.
INTEGRATION OF ARTIFICIAL INTELLIGENCE IN RISK MANAGEMENT TO IMPROVE BUSINESS SUSTAINABILITY Franciskus Antonius Alijoyo
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i1.2618

Abstract

The integration of artificial intelligence (AI) in risk management offers a significant improvement in a company's ability to identify and handle risks more efficiently and accurately. AI enables in-depth and predictive data analysis, so that organisations can detect potential threats earlier and take proactive measures to mitigate them. The result is more efficient operations and more sustainable strategies. However, the successful implementation of AI in risk management requires employee training and the ethical use of this technology. With the right preparation, AI can play an important role in improving business sustainability and competitiveness.
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