ai vulnerabilities

AI vulnerabilities are weaknesses, flaws, or gaps in artificial intelligence systems that can be exploited to cause unintended behavior, security breaches, ethical issues, or performance failures. These vulnerabilities can arise from factors such as biased training data, insecure model design, inadequate testing, lack of robustness against adversarial attacks, or improper handling of sensitive data. Addressing AI vulnerabilities is essential to ensure that AI systems are safe, reliable, and trustworthy.