Hostile attacks pose a growing threat to the stability of AI systems. These attacks involve altering input data in subtle ways to induce incorrect outputs. Safeguarding against such attacks demands a multi-faceted approach that encompasses {robust{design principles, rigorous testing methodologies, and ongoing monitoring strategies. By enhancing the

As AI advances at a rapid pace, it is imperative to address the existing risks linked with these powerful technologies. Moral issues surrounding bias, accountability, and consequences on society must be proactively addressed to ensure that AI benefits humanity. Establishing robust frameworks for the utilization of AI is fundamental. This encompass