As we continue to integrate generative AI into our daily lives, it’s important to understand the potential harms that can arise from its use. Our ongoing commitment to advancing safe, secure, and trustworthy AI includes transparency about the capabilities and limitations of large language models (LLMs). We prioritize research on societal risks and building secure, safe AI, and focus on developing and deploying AI systems for the public good. You can read more about Microsoft’s approach to securing generative AI with new tools we recently announced as available or coming soon to Microsoft Azure AI Studio for generative AI app developers.
We also made a commitment to identify and mitigate risks and share information on novel, potential threats. For example, earlier this year Microsoft shared the principles shaping Microsoft’s policy and actions blocking the nation-state advanced persistent threats (APTs), advanced persistent manipulators (APMs), and cybercriminal syndicates we track from using our AI tools and APIs.
In this blog post, we will discuss some of the key issues surrounding AI harms and vulnerabilities, and the steps we are taking to address the risk read more..
Synergetics India 