Deploying Trustworthy Generative AI - Ethical Considerations and Best Practices

Explore the ethical and social considerations surrounding the rapid deployment of generative AI models across industries in this comprehensive 1-hour and 6-minute talk. Gain a brief overview of Generative AI and understand the importance of adopting responsible AI principles when developing and deploying Large Language Models (LLMs) and other generative AI models. Discover a practical roadmap for implementing responsible AI in generative AI applications. Delve into real-world LLM use cases, focusing on evaluating models for robustness, security, and bias. Learn from industry experiences, best practices, and practical insights to build more reliable and trustworthy generative AI applications. Address critical concerns such as lack of interpretability, bias and discrimination, privacy issues, model robustness, fake content generation, copyright implications, plagiarism, and the environmental impact of training and inference processes.