AI needs to be monitored for several reasons, including:
- Bias: AI algorithms can be biased if they are trained on biased data or designed with inherent biases. This can lead to discrimination and unfair treatment of certain groups of people. Monitoring AI systems can help identify and eliminate these biases.
- Safety: AI systems can pose safety risks if they malfunction or make decisions that could harm people. For example, an autonomous vehicle could cause an accident if it misinterprets its surroundings. Monitoring AI systems can help ensure that they are operating safely and as intended.
- Accountability: As AI systems become more autonomous, it becomes difficult to determine who is responsible for their actions. Monitoring AI systems can help establish accountability and ensure that those responsible for their development and operation are held accountable for their actions.
- Ethical considerations: AI systems can raise ethical concerns, such as the use of facial recognition technology for surveillance or the use of predictive algorithms to make decisions that could impact people’s lives. Monitoring AI systems can help ensure that they are being used ethically and that appropriate safeguards are in place to protect people’s rights and privacy.
Overall, monitoring AI systems is important to ensure that they operate fairly, safely, and ethically, and to hold those responsible for their development and operation accountable for their actions.