Let Aiden help you "Keep Pace" with "Explainable AI"

Topic Soundbyte

How did AI arrive at that decision? Easy question that's hard to answer

There are a variety of efforts underway to figure out how to accomplish this
It is key element that will help build "trust" in AI Systems
As AI can continually "learn", it is possible decisions could change over time. Explainable AI will give insights as to why those answers have changed.

Latest Trends

Numerous activities focused on Explainable "AI" that include:

MIT taught a Neural Network to show its work

MIT just unveiled a neural network capable of explaining its reasoning

DARPA Explainable AI (XAI) Project

What is going on at the Defense Advanced Research Projects Agency (DARPA)

How AI detectives are cracking open Deep Learning

Possible explanation for how Deep Learning works

New Theories

Possible explanation for how Deep Learning works

Aiden Suggests

Suggestions for learning more about Explainable AI

Suggestion #1: Gain a deeper understanding of what "Explainable AI" is

The difference between Understandable vs Explainable AI. Click here to "Keep Pace"

The dark secret at the heart of AI. Click here to "Keep Pace"

Explainable AI: The data scientists new challenge. Click here to "Keep Pace"

The challenges and opportunities of Explainable AI. Click here to "Keep Pace"

Explainable AI - detailed graphics (PDF format). Click here to "Keep Pace"

The path to Explainable AI. Click here to "Keep Pace"

Opening up black boxes with Explainable AI. Click here to "Keep Pace"

Suggestion #2: The Value Proposition of Explainable AI - Promotes "Trust"

The Financial World wants to open AI's black box Click here to "Keep Pace"

Deep Learning Is a Black Box, but Health Care Won’t Mind. Click here to "Keep Pace"

The Trust Challenge - Why Explainable AI is not Enough. Click here to "Keep Pace"

Transparent design could teach people to trust AI. Click here to "Keep Pace"

Suggestion #3: Current "Explainable AI" Theories

DARPA researchers want to know how and why machine learning algorithms get it wrong. Click here to "Keep Pace"

Suggestion #4: Foundations, Conferences & Workshops

The "Partnership on AI foundation", which is focused on a number of AI topics, including "Explainable AI". Click here to "Keep Pace"

Recently release Explainable AI white-paper recently introduced at an AI conference focusing on generating a Knowledge Graph to explain what is going on. Click here to "Keep Pace"

Workshop on Explainable Artificial Intelligence. Click here to "Keep Pace"

Let Aiden help you "Keep Pace" with "Explainable AI"

Topic Soundbyte

How did AI arrive at that decision? Easy question that's hard to answer

There are a variety of efforts underway to figure out how to accomplish this

It is key element that will help build "trust" in AI Systems

As AI can continually "learn", it is possible decisions could change over time. Explainable AI will give insights as to why those answers have changed.

Latest Trends

Numerous activities focused on Explainable "AI" that include:

MIT taught a Neural Network to show its work

What is going on at the Defense Advanced Research Projects Agency (DARPA)

​

Aiden Suggests

Suggestions for learning more about Explainable AI

Suggestion #1: Gain a deeper understanding of what "Explainable AI" is

The difference between Understandable vs Explainable AI. Click here to "Keep Pace"

The dark secret at the heart of AI. Click here to "Keep Pace"

Explainable AI: The data scientists new challenge. Click here to "Keep Pace"

The challenges and opportunities of Explainable AI. Click here to "Keep Pace"

Explainable AI - detailed graphics (PDF format). Click here to "Keep Pace"

The path to Explainable AI. Click here to "Keep Pace"

Opening up black boxes with Explainable AI. Click here to "Keep Pace"

Suggestion #2: The Value Proposition of Explainable AI - Promotes "Trust"

The Financial World wants to open AI's black box Click here to "Keep Pace"

Deep Learning Is a Black Box, but Health Care Won’t Mind. Click here to "Keep Pace"

The Trust Challenge - Why Explainable AI is not Enough. Click here to "Keep Pace"

Transparent design could teach people to trust AI. Click here to "Keep Pace"

Suggestion #3: Current "Explainable AI" Theories

DARPA researchers want to know how and why machine learning algorithms get it wrong. Click here to "Keep Pace"

Suggestion #4: Foundations, Conferences & Workshops

The "Partnership on AI foundation", which is focused on a number of AI topics, including "Explainable AI". Click here to "Keep Pace"

Recently release Explainable AI white-paper recently introduced at an AI conference focusing on generating a Knowledge Graph to explain what is going on. Click here to "Keep Pace"

​

Workshop on Explainable Artificial Intelligence. Click here to "Keep Pace"