What is Explainable AI?

Показать описание

Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. Sound complicated? Master Inventor Martin Keen gives you a simple (and fun) explanation on how explainable AI works.

#AI #Software #ITModernization #ExplainableAI #lightboard #DataFabric #WatsonX

Рекомендации по теме

Комментарии

I think this topic about XAI will radically change the way people see AI. Engineers do not like black boxes. We want to know what is happening in the black boxes and how does AI reach conclusions from inputs. I would hardly trust AI doing very critical decisions if i would not know how it came to conclusions based on which a decision is made. A good topic to explain would be Quantum computers. How do they work and how could i use them to solve practical problems.

Flankymanga

Great video on AI. Love your other work as well ... 🍻

half.baked.pavlova

XAI can help with reasoning behind why a particular prediction was made, but How can it be used to improve the accuracy of model? and also please make video on LIME, how it works and what other thing we can do with it.

AU-oyqg

I was getting interested in XAI after I took a class on Human computer interaction which made me think why can't we have these HCI approaches implemented in AI. And to my surprise, I found out that, in the last few years, work has already begun in the human centered XAI field. So I started to read research papers on this topic and this video was genuinely helpful for fulfilling my curiosity.

eGyanman