Which of the following ethical considerations deals with the transparency of AI decision-making?
- Accountability
- Explainability
- Fairness
- Privacy
The ethical consideration of "Explainability" in AI deals with the transparency of AI decision-making. It emphasizes the importance of making AI systems understandable and interpretable, enabling users to comprehend why a particular decision or recommendation was made by an AI system.
Loading...
Related Quiz
- What is the role of AI in risk management and mitigation in the banking sector?
- How does the lack of interoperability among AI systems affect the integration of autonomous technologies in smart cities?
- In a scenario where an AI deployed in financial trading starts making highly risky trades due to a data anomaly, how would you design a system to prevent this in the future while maintaining the ability to capitalize on legitimate opportunities?
- Which legislation is designed to protect the privacy and security of personal information in the European Union?
- How does dropout regularization work in neural networks?