Top 3 Pitfalls in AI

The followings are the top three pitfalls of AI:

1. Bias in AI Models: AI systems can inherit biases in the training data, leading to unfair or discriminatory outcomes. This can affect many aspects in regard to returned results.
2. Lack of Transparency: Known as the “black box” problem, this occurs when AI systems make decisions without providing understandable explanations. The lack of transparency can take away trust and make it difficult to identify and correct errors.
3. Data Privacy Violations: AI systems sometimes require large amounts of data, which can lead to privacy concerns if information is not handled properly. Misuse or mishandling of data can lead to breaches of privacy and loss of trust.