📍 Imagine
having a one-on-one discussion
📍 with your favorite
machine learning model.
Well, that's E for Explainable AI or XAI.
In short,
XAI is like opening up the
black box of AI.
It's all about making AI
models more understandable
so we can trust and
validate their decisions.
It also makes it easier
to spot biases and
ensure that AI is fair to
everyone,
📍 like a superhero fighting for justice
With XAI, doctors can understand
why an AI model recommends
a certain treatment,
and banks can see the
reason behind credit
score predictions.
It's like giving the
AI the power of communication.
Some popular ways to make
AI more explainable include
LIME, Shap and
Partial Dependence plots.
These tools help us speak
inside the AI's mind and understand
the logic behind its decisions,
just like a detective solving
a mystery, and that's how we
can trust AI to make life-changing decisions.
