The Limits of Ethical AI

.@Joi on 'The Limits of Ethical AI' (which he concedes more properly is 'Limits of Algorithmic Fairness in Actuarial Practice'). On the pervasiveness of AI #Hype: AI has gone 4m being #WhatWeCannotDo (Yet) to being #WhatWeAreMostDefinitelyDoing (Right Now). Martha Minow begins by saying that she cannot think of anyone better than the moderator (Prof Sheila Sen Jassanoff) to bring politics, journalism, philosophy, psychology & empiricism together, adding  ‘that’s probably the most important thing I’m going to say’. But then goes on to make a series of very powerful contributions to the discussion. I don't want to excerpt for fear of quoting w/o context... except an irresistible line 'We are in the year 1900 when it comes to law...' (And @yes_VY, she mentions @JuliaAngwin's work around 1:10:45)

— Satyen Baindur (@Satyen_Baindur) March 8, 2019

https://vimeo.com/311460280 

The AI Hype and VC Funding for Startups

.@ft According to this article from the Financial Times, as many as 40% of 2830 'AI startups' in Europe (@MMC_Ventures Survey) don't use any AI programs at all, in their products (as of the time the survey was taken).  The same survey said that the median size of a funding round for an 'AI startup' in 2018 was 15% larger than a similar funding round was for 'just software' startups. One can see how big an incentive this creates for a 'just software' startup to declare itself an 'AI Startup'. Given this, one is actually a bit surprized that only ~8% of all 2018 startups were AI startups! (though, to be sure, the universe here includes non-software startups too.) But there sure is a lot of #AI #Hype via @IanHathaway https://t.co/2qscQS8PeF

— Satyen Baindur (@Satyen_Baindur) March 5, 2019

What is the Added Business Value of Deploying AI?

An extremely important question in these days of extreme 'AI Hype' is - What is the added business value of deploying AI (this is temporarily setting aside the huge assortment of technical and implementation-related issues, which need their own blog post(s)...). The added business value of AI is more subtle than, for example, the  impact of automation (which can be AI-enabled) that might happen via productivity enhancements, or via increases in revenue, or both in some combination.

AI has an impact on improved decision-making processes, more accurate demand forecasts, or, at a manufacturing level,  the prediction of mechanical failure in machinery - are often indirect, so one needs more subtle and innovative measures of the return on investment (#ROI) in #AI! https://t.co/t0jNT7RIoe

— Satyen Baindur (@Satyen_Baindur) January 30, 2019

Artificial Intelligence, Machine Learning, Cybernetics and all that...

Prof Michael Jordan @UCBerkeley #CS #Statistics #MustRead on AI 1)Not '#AI' but #IA Intelligence Augmentation & #II Intelligent Infrastructure 2)Challenges of #IA & #II r not subsumed by human-imitative #AI 3) #MachineLearning is a branch of statistics... https://t.co/AiwMj8unlH

— Satyen Baindur (@Satyen_Baindur) April 24, 2018

4) John McCarthy coined '#AI' to distinguish his approach 4m Norbert Wiener's 'cybernetics'; 5)Ironically, what people call '#AI' now is traceable to Wiener's ideas 6)#backprop was *rediscovered* in the '80s, a control-theoretic version was in use much earlier, eg w @NASA Apollo

— Satyen Baindur (@Satyen_Baindur) April 24, 2018