Current State of UX in AI: Understand the usability issues plaguing popular AI products like voice assistants and chatbots.

Traditional Usability Principles: Revisit Nielsen’s 10 heuristics and see how they apply (or don't) to AI interfaces.

Early vs. Late Adopters: Learn why designing for a mainstream audience is crucial for the success of AI products.

New UX Challenges: Discover the unique problems AI introduces, such as "ideation abundance," and how to manage them.

Case Studies: Get insights into the UX of popular AI tools like Google's AutoML, ChatGPT, Canva, Adobe Briefly, and TextFX.

UX Investment in AI: Understand why companies need to prioritize UX in their AI development.

Future Directions: Explore the endless possibilities of human-centric AI and the need for a strong UX foundation.

Human-Centric Design: The future of AI must focus on bridging the gap between technological innovation and human needs.

Usability is Key: Great UX in AI is not a luxury; it's a necessity for both user satisfaction and business success.

Continuous Learning: As UX professionals, staying updated on the evolving landscape of AI is essential for effective design.