Join us as we dive deeper into understanding what is (and isn’t) Generative AI, common misconceptions and the potential legal, compliance, ethical and safety implications to address before it’s too late. Benefit from invaluable takeaways on critically important topics, including:

• Defining “Generative AI” and what it does in practice
• Assessing the safety, ethical, and compliance “red flags” of generative AI and how they differ from other types of AI tools
• What is “unsupervised” or “semi-supervised” learning?
• Defining foundation models, generative adversarial networks (GANS), and variational autoencoders (VAES)
• Demystifying “transformers”
• Getting familiar with the latest tools and their functionalities, including MIDJOURNEY, DALL-E2, RUDALL-E and newer projects
• Understanding how Generative AI intersects with ethics, compliance, privacy and legal
• Potential usages of Generative AI to address cybersecurity risks
• Understanding “responsible use” in the context of Generative AI
• Identifying the implications of Generative AI vs. Other AI tools and capabilities
• Working cross-functionally to assess the appropriateness and risk of Generative AI to your business