Explainable AI vs. Black Box AI: Understanding the Key Differences 🤖

🔍💡 Welcome to "Innovation Talks with CCH Tagetik"! 💡🔍

In the second episode of our series, we delve into the world of Explainable AI and its fundamental difference from Black Box AI in the financial sector.

Not all AI is created equal. For finance teams, explainable AI offers transparency into the machine’s predictions, keeping humans in the driver’s seat. Innovation associate director and AI expert, Francesco Morini shares why explainability is a must-have capability for every finance team looking to employ AI-based solutions.

💼💬 When we use complex algorithms to make important decisions, as it occurs in finance, it is crucial to be able to explain why a model has chosen a specific action or has made a specific prediction. Explainable AI does just that: it helps to understand and explain complex processes. This is why it is a valuable ally for humans, and this is where it differs from Black Box AI.

🤖 Not all AI is created equal. For finance teams, explainable AI offers transparency into the machine’s predictions, keeping humans in the driver’s seat. Innovation associate director and AI expert, Francesco Morini shares why explainability is a must-have capability for every finance team looking to employ AI-based solutions.

💡 Join us as we explore the potential of Explainable AI in the financial sector and discover how it can be used to enhance transparency, understanding, and confidence in financial decisions.

#cchtagetik #artificialintelligence #innovation #explainableai #blackboxai
➡️ Learn more here: https://www.wolterskluwer.com/en/solutions/cch-tagetik/ai-innovation-talks

00:00 Intro
00:38 Explainable AI: let's make it clear
01:09 Why is it necessary for Finance to have an explainable AI?
01:48 What is the potential of explainable AI applicable in CCH Tagetik?
02:39 If Explainable AI were a superhero, what would it be?