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A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions
16 references·0 citing·52 second hop
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References

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  • 2024Bias and ethics of AI systems applied in auditing - A systematic review148 cited
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  • 2024Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective143 cited
  • 2023Taking AI risks seriously: a new assessment model for the AI Act138 cited

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2023
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction
105 cited
  • 2024Broadening the perspective for sustainable artificial intelligence: sustainability criteria and indicators for Artificial Intelligence systems104 cited
  • 2022A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost104 cited
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