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

As AI advances at a rapid pace, it is essential to tackle the inherent risks connected with these powerful technologies. Moral issues surrounding bias, explainability, and impact on society must be rigorously addressed to ensure that AI serves humanity. Establishing robust frameworks for the utilization of AI is critical. This encompasses encourag