Top 3 AI Ethics and Bias Aspects

Top three AI ethics and bias aspects that frequently come to the forefront:

Bias and Discrimination: AI systems can inadvertently perpetuate existing biases present in the training data, leading to unfair outcomes in areas such as hiring, lending, and law enforcement.

Data Privacy: AI systems raise significant privacy concerns, as well as increase the risk of data breaches.

Accountability: AI systems can make mistakes and therefore who is responsible is a complex issue, especially as these systems become more autonomous and integrated into critical decision-making processes.