SAFEGUARDING AI: DEFENDING AGAINST ADVERSARIAL ATTACKS

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

As intelligent systems advances at a rapid pace, it is essential to tackle the potential risks linked with these powerful technologies. read more Moral issues surrounding bias, transparency, and impact on society must be proactively addressed to ensure that AI serves humanity. Developing robust regulations for the development of AI is fundamental.