deep learning... is the reason we’re on the brink of a more general intelligence... essentially one algorithm (with many minor variants) that can adjust its own structure to solve a problem, directly from whatever massively large data set you feed it... we’re seeing extremely narrow systems right now is because they’re extremely useful... we are …

Facebook’s application for Patent 0350675: “systems and methods to identify objectionable content.” ... filed in June 2015, describes a sophisticated system for identifying inappropriate text and images and removing them from the network... improve the detection of pornography, hate speech, and bullying... much easier to identify than false news s…

There’s large-scale, statistically significant research into the impact of search results on political views... Google is doing a horrible, horrible job of delivering answers here. It can and should do better... people are finally saying, ‘Gee, Facebook and Google really have a lot of power’ like it’s this big revelation. And it’s like, ‘D’oh.’”…

Perfectly open communities always go sour. You need filters. Every functional community has them. And that’s where machine learning comes in... If you can detect trolls, you can protect the people they’re trolling by muting or putting a warning over the trolls’ posts... Twitter... already have a way of screening out porn. Why don’t they do the sam…

mainstream AI tools: machine learning and deep learning...lack an element that will be key to building the sentient machines ...

If you think this election is insane, wait until 2020... technologies like AI, machine learning, sensors and networks will accelerate. Political campaigns get ... so personalized that they are scary in their accuracy and timeliness. The single most important factor influencing your voting decision is your social network… so you can bet that politi…

trillions of dollars are spent on making the world technologically ‘smarter’ ... but very little is spent on getting humans ready for that future... We will need to decide, very soon, where humans end and machines start, and vice-versa- and this is an ethical question NOT a technological challenge.

Fernando Pereira, who leads Google’s projects in natural language understanding, is less excited about his company’s shiny new devices than he is about what will happen when people use them... how can a machine truly understand phrases... machine learning; specifically... neural networks... use sophisticated algorithms and tons of data to train t…

When her best friend died, she rebuilt him using artificial intelligence... Memorial bots ... seemed both inevitable and dangerous. ... is it really what’s beneficial for us? Is it letting go, by forcing you to actually feel everything? Or is it just having a dead person in your attic? ... Today’s bots remain imperfect mimics ... Any suggestion …

Within five years robots and so-called intelligent agents will eliminate many positions in customer service, trucking and taxi services, amounting to 6 percent of jobs... The bots of 2021 will be much better at understanding human language, and they will be better at learning from users and increasingly able to handle more complex scenarios.

This report is the first in a series to be issued at regular intervals as a part of the One Hundred Year Study on Artificial Intelligence (AI100).

summary of Kevin Kelly’s Seminar “The Next 30 Digital Years”, ... part of The Long Now Foundation’s Seminars About Long-term Thinking. a dozen “inevitable” trends will drive the next 30 years of digital progress...

Salesforce’s Peter Coffee offers a singular analysis of the meaning of singularity and its key consequences.

The Turing Test is supposed to determine whether a machine can think, or seem to think. How would you test whether a machine can process and simulate feelings so well that a human user could develop real feelings for it? Well, how do you test whether you could love anyone?You flirt.... The goals of flirting... resemble the goals of contemporary …

After so much talking about the risks of ultraintelligent machines, it is time to turn on the light, stop worrying about sci-fi scenarios, and start focusing on AI’s actual challenges, in order to avoid making painful and costly mistakes in the design and use of our smart technologies... Believers in true AI and in Good’s ‘intelligence explosion’…

AI can be effective, particularly its Natural Language Processing (NLP) aspect — but only in the right context... we need to work out when it’s a help and when it’s a hindrance... Whilst AI may be the new kid on the technological block, it works best as a complement to good UI, not a substitute.

Technology is superior when humanity is woven into its DNA. I’m newly fond of saying, “Everyone is working on Artificial Intelligence, what about just, Intelligence?” Jelly sprung from the question, “What would search look like if it were created today?” We knew mobility and good old, human experience would be defining factors.... Enter your quest…

I haven’t yet met a single bot that actually does ANYTHING better than a great UX... that actually does ANYTHING beyond a narrow scripted interaction. They all seem OK inside a script (in English), but become super-annoying very fast, when moving out of their pre-designed limits. So I decided to deploy a chatbot, without building one, just to see …

You can now chat with all sorts of bots through a number of messaging services... The trouble is that computers still have a hard time understanding human language... but chatbots are still prone to confusion and misunderstanding... The best commercial chatbots will most likely be those that recognize their own limitations... There have been no …

Picture a nightmarish future in which half-witted “conversational user interfaces” drive us insane with mindless conversation and misunderstandings...chatbots may be incredibly annoying. And things may be even more annoying if app designers fail to appreciate the significant challenges that remain with using computers to parse and respond to natur…

bandwagons are bad for your health, as illustrated by the impending death of content marketing and the gathering backlash against Slack (Slacklash? BackSlacksh?) and (already!?) chatbots.

But Go programs still fell far short of human players in ability. It seemed as though a strong intuitive sense of board position was essential to success.What’s new and important about AlphaGo is that its developers have figured out a way of bottling something very like that intuitive sense... .Just because neural networks can do a good job of cap…

At first, Fan Hui thought the move was rather odd. But then he saw its beauty. “It’s not a human move. I’ve never seen a human play this move,” he says. “So beautiful.”... AlphaGo ... has beaten the very best by playing in ways that no human would.... AlphaGo has taught him, a human, to be a better player. He sees things he didn’t see before. And …

AI still can’t ... deal with natural language well enough, but it’s getting much better. And the way translation’s currently done will change because Google now has what promises to be a much better way to do machine translation.

data enrichment platforms have become a valuable resource for data scientists looking to automate and scale the cleaning, labeling and enrichment of data using human intelligence for machine learning — i.e. training data creation.

“We are approaching a time when machines will be able to outperform humans at almost any task... Physicist Stephen Hawking and the tech billionaires Bill Gates and Elon Musk issued a similar warning last year... Vardi, a professor at Rice University and Guggenheim fellow... suggested AI could drive global unemployment to 50%, wiping out middle-…

Artificial intelligence is the future of Google Search, and if it’s the future of Google Search, it’s the future of so much more... with its head of AI taking over search, the company seems to believe this is the way forward.

... high levels of skills obsolescence. We must anticipate massive quantitative and qualitative educational needs. Technological literacy will be key, obviously, but I also believe we will need to cultivate our “core human competencies”. Collaboration, empathy, active listening and caring, creativity ... anticipate the social effects of a “winner-…

In which I studiously avoid curating anything about 2016 or David Bowie.

AI in itself isn’t good or bad. We’re just beginning to go past our initial, vague apprehensions, and to look concretely into how AI can benefit society while ensuring that it doesn’t hurt us.