Ethics in AI: Responsible Generative AI Design Patterns

Join us for discussion on the Future of AI Regulations and Responsible AI Practices

Abstract:

The growing adoption of Gen AI, esp. LLMs, has re-ignited the discussion around AI Regulations — to ensure that AI/ML systems are responsibly trained and deployed. Unfortunately, this effort is complicated by multiple governmental organizations and regulatory bodies releasing their own guidelines and policies with little to no agreement on the definition of terms.

In this talk, we will provide an overview explaining the key Responsible AI aspects: Explainability, Bias, and Accountability. We will then outline the Gen AI usage patterns and show how the three aspects can be integrated at different stages of the LLMOps (MLOps for LLM) pipeline. We summarize the learnings in the form of Gen AI design patterns that can be readily applied to enterprise use-cases.

Meet our Speaker:

Debmalya Biswas, a luminary with over two decades of expertise in AI/ML, Big Data Analytics, and Security. As the Director of Data Analytics & AI at Wipro, Switzerland, and a distinguished professional in top tech firms, his insights have shaped the AI landscape. With 50+ patents to his credit, he's hailed as a leading voice in AI and a sought-after speaker at premier global conferences.

Agenda: 

18:00 – Welcome & Networking

18:30 – Aspects of Responsible AI, Debmalya Biswas 

19:15 –  Open discussion and Q&A

After the discussion, we would like to invite you to network with other WDS community members!