71 Messages
•
611 Points
Breakout Session Video "Understanding Your Pricing Strategy with Explainable AI"
This session took a deep dive into Explainable AI, offering a clear view into the specific data influencing model predictions. We navigated through the intricacies of Explainable AI, exploring the practical application of algorithms that demystify AI models by generating feature importance and comparable prices. We gained a deeper understanding of how transparency can be achieved, empowering users to trust and comprehend the decisions made by AI systems.
How do you plan on enhancing the transparency and trust in your AI systems?
JohnNeff
1 Message
•
10 Points
2 months ago
Very insightful session! The way explainable AI breaks down pricing decisions really adds clarity. It’s great to see complex models made understandable for real business use. geometry dash spam
0
0
menorahpreserve
1 Message
•
10 Points
2 months ago
Users can then trace the logic behind results geometry dash and decide whether to act on them — a crucial aspect for regulated industries like healthcare or finance.
0
0
nishimoto542
1 Message
•
10 Points
7 days ago
To enhance transparency and trust in our AI systems, we plan to integrate explainability features directly into our workflows, such as generating feature importance scores, offering clear data visualizations, and providing side-by-side comparisons that simplify complex model decisions for users. Just like r2park apps make parking more convenient and easy to understand through intuitive interfaces, our goal is to ensure users can not only see the outcomes of AI predictions but also understand the reasoning behind them, thereby fostering greater confidence and accountability in the technology.
0
0