NOW in 60: What is explainable AI?
What is explainable AI in 60 seconds
In just 60 seconds, get a basic understanding of Explainable AI (XAI) and its importance in building trust in AI systems. XAI consists of processes and methods that clarify how AI produces its outputs, ensuring transparency and user understanding. You’ll also learn how XAI enhances decision-making, reduces risks, and uncovers potential biases in AI systems.
You’ll learn
The dangers of "AI washing" from false marketing claims about AI capabilities
How XAI enables users to understand and trust AI's machine learning outputs
How Juniper’s use of XAI supports transparent and trustworthy AI-Native Networking solutions
Who is this for?
Host
Transcript
0:00 [Music]
0:06 trust in AI is crucial for its adoption
0:09 and avoiding AI washing where products
0:11 use false marketing claims regarding
0:13 their AI capabilities explainable AI or
0:16 xai comprises a defined set of processes
0:20 and methods that allow users to
0:22 understand and Trust ai's machine
0:24 learning output this explainability is
0:26 key to building trust and confidence in
0:29 AI systems spurring their adoption to
0:32 accomplish this the US National
0:34 Institute of Standards and Technology
0:36 outlines four principles for xai
0:39 providing clear reasoning for outputs
0:41 making explanations understandable
0:44 ensuring explanation accuracy and
0:46 operating within designed limits xai
0:50 offers numerous benefits from more
0:52 informed decision-making to increased
0:54 risk reduction it also illuminates
0:57 important AI processes exposing
0:59 potential flaws and biases Juniper's use
1:02 of xai is designed to support
1:04 transparent trustworthy AI native
1:07 networking Solutions enhancing
1:09 everything from Wi-Fi management to
1:11 network anomaly detection that's
1:13 explainable AI in 60 Seconds
1:18 [Music]
