Introduction - Why Generative AI applications need to be evaluated and secured (beginner)
The rapid development and growing complexity of Generative AI applications present new challenges and potential risks. These systems, capable of producing human-like text, images, code, and other content, carry inherent risks such as hallucinations, bias, security vulnerabilities, and ethical concerns. The power of Generative AI comes with significant responsibility. Without careful evaluation and security safeguards, such systems may lead to negative user experiences, reputational damage, legal consequences, and broader societal harm. As these technologies become increasingly integrated into various domains, the urgency of ensuring their reliability and safety continues to grow. Trust in AI-driven applications is critical for both user adoption and commercial success. This trust can only be established through rigorous evaluation and robust security measures. If users cannot rely on the generated outputs or perceive potential risks, they will hesitate to engage with the application. ...