AI risk

Reasons why AI can be dangerous

  • Reason 1 Lack of transparency in AI systems, particularly in deep learning models that can be complex and difficult to interpret, is a pressing issue
  • Reason 2 AI problems with privacy AI combines various pieces of data about a person to make inferences, creating risks of privacy invasion.
  • Reason 3 The promise of innovation is only matched by the potential for exploitation. In the interconnected world of AI, a single vulnerability can set off a chain reaction of security breaches.
  • Reason 4 With outdated, biased, or insufficient data will waste resources and lead to failure. Therefore, ensure that you have sufficient and relevant data from reliable sources that represent business operations, are correctly labeled, and are suitable for the AI tool to be implemented
  • Reason 5 The problem of biased training data leading to biased AI systems is one of the most pressing AI ethics concerns