Title

AWS re:Invent 2023 - How to build a responsible and sustainable generative AI chatbot (IMP103)

Summary

Wafa, a data scientist at AWS, and Anthony Maderos from Schneider Electric presented on building responsible and sustainable generative AI chatbots.
Generative AI can create new content and is powered by foundation models or large language models with billions of parameters.
Challenges in generative AI include toxicity (harmful outputs) and fidelity (inaccurate information).
AWS's responsible AI framework includes six dimensions: fairness, explainability, robustness, privacy and security, governance, and transparency.
AWS's well-architected framework now includes a sustainability pillar.
Schneider Electric's Anthony Maderos discussed their use of AWS services and responsible AI principles in their AI projects.
Schneider Electric focuses on explainability, robustness, and accountability in their AI solutions.
They use Retrieval Augmented Generation (RAG) to enhance LLMs by adding an information retrieval system.
AWS and Schneider Electric are committed to responsible AI, aligning with global standards and providing resources for generative AI adoption.

Generative AI is rapidly evolving and has the potential to transform industries by automating tasks and providing insights from vast amounts of data.
The responsible use of generative AI is crucial to build trust and ensure safe, secure, and transparent systems.
AWS's responsible AI framework and the well-architected framework with a sustainability pillar provide guidance for building AI systems that are ethical and environmentally conscious.
Schneider Electric's approach to responsible AI includes multidisciplinary teams and human-in-the-loop processes to ensure the quality and relevance of AI outputs.
The use of RAG architecture and foundational models like Anthropic Cloud helps Schneider Electric to maintain up-to-date and accurate AI responses while minimizing risks such as hallucinations and toxicity.
AWS and Schneider Electric's commitment to responsible AI and sustainability reflects a broader industry trend towards ethical technology development and deployment.