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?
- Disable the AI system and rely solely on human traders.
- Implement strict trading limits for the AI and increase human oversight.
- Allow the AI to continue risky trading to maximize profits.
- Ignore the anomaly, as it may be a temporary issue.
To prevent risky trading while capitalizing on legitimate opportunities, you should increase human oversight, implement strict limits, and develop algorithms to detect and react to anomalies. Balancing risk and reward is essential in financial AI systems.
Loading...
Related Quiz
- In the context of deploying a facial recognition system at a large scale (e.g., in airports), what technical challenges related to scalability and adaptability would you anticipate, and how would you plan to overcome them?
- Who is considered the father of Artificial Intelligence?
- Which encryption technique might be utilized to perform computations on data while it is still encrypted?
- Ethical considerations in AI seek to address issues related to fairness, transparency, and _______.
- In supervised learning, what is the output variable also referred to as?