Trust and Validation in AI - Challenges and Solutions

Explore the critical issues of trust and validation in AI through this 43-minute video from Rawkode Academy. Delve into topics such as verifying AI-generated outputs, addressing data authenticity challenges, and debunking common AI misconceptions. Learn about IBM's approach to building trusted models and their partnerships with open-source ecosystems. Examine the potential impacts of AI, both positive and negative, and the challenges presented by its rapid advancement. Discover insights on copyright implications, regulation needs, and the evolving landscape of AI technology. Gain valuable perspectives on navigating the AI space and making informed decisions through engaging discussions and expert insights.

Introductions
What is watsonx?
AI for the Enterprise
AI as a Yes Man
The Wikipedia AI Challenge
AI Needs Trust
People Problem in AI
Ethical Dilemmas
Final Thoughts