Discover and read the best of Twitter Threads about #explainableai

Most recents (4)

With the last week's launch of Google Cloud’s Explainable AI, the conversation around #ExplainableAI has accelerated.

But it begs the questions - Should Google be explaining their own AI algorithms? Who should be doing the explaining? /thread
2/ What do businesses need in order to trust the predictions?

a) They need explanations so they understand what’s going on behind the scenes.

b) They need to know for a fact that these explanations are accurate and trustworthy and come from a reliable source.
3/ Shouldn't there be a separation between church and state?

If Google is building models and is also explaining it for customers -- without third party involvement -- would it align with the incentives for customers to completely trust their AI models?
Read 11 tweets
We've been working on #ExplainableAI at @fiddlerlabs for a year now, here is a thread on some of the lessons we learned over this time.
2/ There is no consensus on what "Explainability" means. And people use all of these words to mean it.
3/ However, one thing is clear:

"AI is a Black-Box and people want to look inside".

The reasons to look inside vary from Model Producers (Data Scientists) to Model Consumers (Business teams, Model validators, Regulators, etc).
Read 14 tweets
It is amazing to see so many applications of game theory in modern software applications such as search ranking, internet ad auctions, recommendations, etc. An emerging application is in applying Shapley values to explain complex AI models. #ExplainableAI
Shapley value was named after its inventor Lloyd S. Shapley. It was devised as a method to distribute the value of a cooperative game among the players of the game proportional to their contribution to the game's outcome.
Suppose, 10 people came together to start a company that produces some revenue. How would you distribute the revenue of the company among the 10 people as a payoff so that the payoffs are fair and appropriate to their contributions?
Read 11 tweets
Today, @NITIAayog released a Discussion Paper titled ‘National Strategy for Artificial Intelligence”. #AIforAll
niti.gov.in/writereaddata/…
We provide our initial thoughts on the paper here. 1/n
We welcome this initiative by @NITIAayog, but a call for comments would have been a welcome addition. The paper takes important steps forward from the #AI Task Force report released earlier this year by the DIPP, Ministry of Commerce and Industry (dipp.nic.in/sites/default/…). 2/n
This paper attempts a more holistic look at a broader range of issues concerning AI including #regulation, #ethics, #fairness, #transparency and #accountability. However, a number of issues still remain with this paper. 3/n
Read 41 tweets

Related hashtags

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just three indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!