a policy paper on Artificial Intelligence and Machine Learning to help navigate some of the opportunities and challenges ... de-mystifying some of its fundamental concepts

for innovators who are tasked with problem solving and imagining the future, human curiosity and playfulness will always have the advantage.. . machines cannot yet have intuition, nor the ability to empathize, reframe problems and truly innovate.. . The robots may be coming for our jobs, but it is too early to call checkmate on human ingenuity.

It will still need human workers to review the machines’ output and make decisions AI can’t, but the greater need will be for the middle-level employees who have the experience to make judgment calls....[but] Where do those middle-level employees get that experience and judgment?

illustrates the current limitations of artificial intelligence... a human being invisibly takes over, responding to your request as if the algorithms were still at the helm... to reveal how people would react to an omniscient virtual assistant, and to provide data that would let the algorithms learn ...progress has been harder won than expected...…

there is no obvious way to design such a system so that it could always explain why it did what it did... How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? ... a journey to the bleeding edge of research on AI algorithms... including a meeting with one of the great philosopher…

there are a number of companies looking at ways to apply AI, machine learning and related concepts to recruiting... we see glaring limitations to applying machine learning and AI to screen candidates based on their CVs and social media profiles alone... CVs alone fail to capture individual performance and contribution, raw talent, actual competenc…

As ML algorithms solve bigger and more complex problems... training them can require massive amounts of pre-labeled data.... As recently as 2015, only large companies like Google, Amazon and Apple had access to the massive data ... The democratization of ML gives individuals and startups a chance... But access to data is only one way in which M…

People are remarkably bad at explaining what they do, or how they go about reasoning, but we manage to live in a world filled with people, anyway.

how hard is it for someone to put true artificial intelligence into a chatbot? ... here are the 50 lines of code that enable your bot to understand speech:

throwing more data at problems won’t necessarily lead to progress... us to artificial general intelligence... there’s low-hanging fruit that deep learning’s good at  —  specific narrow tasks ... we’re not making progress on cognition and strong AI.... we can’t well interpret what deep learning is doing... it isn’t literally exactly memorization…

Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

there’s plenty of reasons why negativity abounds online... Incivility is a basic human instinct that’s encouraged by anonymity and exacerbated by inequality... anger helps drive participation... anyone who benefits from trolling — whether it’s platforms themselves or populist politicians — have little reason to improve the tone of online chatting…

Enterprise systems and business processes are constructed... from an organization’s most strategic asset: subject matter expertise. ... doesn’t all sit neatly in some database or model. It sits in the spreadsheets and brains of the business analysts, the ... engineers, etc. Capturing and codifying this expertise to create more intelligent and auto…

guides you through the traffic of social networks and automatically creates data visualizations for exceptionally insightful discoveries, all on the cloud. Identify a topic and quickly get relevant content that shows you interesting relationships and patterns. You can easily take the pulse of your audience, gain greater visibility into a topic or …

intuitive ways for people with big ideas to start building AI tools without big expertise.

a list of basic resources for marketers who want to learn more about AI. Here’s a quick roundup of some of the things I’ve contributed to and some blogs to subscribe to, as of early 2017.

Facebook today cannot exist without AI. Every time you use Facebook or Instagram or Messenger... your experiences are being powered by AI... Eventually, this “classifying” step—known as supervised learning—may become automated, as the company pursues an ML holy grail known as “unsupervised learning,” ... Facebook sees the visual cortex merging wit…

If you're wondering where your job sits on the list of "Run for your life, the robots are coming," you have a simple, singular mission. Learn how your job is going to be automated. Learn everything you can about what your job will evolve into and become the very best man-machine partner you can.

every Chinese ... ”Citizen Score” will determine under what conditions they may get loans, jobs, or travel visa to other countries. ... individual monitoring would include people’s Internet surfing and the behavior of their social contacts... algorithms know pretty well what we do, what we think and how we feel—possibly even better than our friend…

The Information reported that ... artificial intelligence-powered chatbots could successfully complete only 30 percent of requests without human assistance.... a dilemma ... lies in the nature of bots themselves and when they are truly useful... Bots are great for the occasional, simple question: “I know what I want, give me the answer as quickly…

"Perspective" ... for news websites and blogs to moderate online discussions with the help of artificial intelligence... reports how "toxic" a given comment is. It lets the website publisher, or even readers themselves, choose a "toxicity" threshold for comments that won't be displayed publicly... will start screening for off-topic comments or one…

3rd of my posts for Chatbots Magazine: Chatbots allow governments and other public bodies to provide citizens highly customised content and services. And invade their privacy. Citizens deserve better choices. 

Zuckerberg uses abstract language in his memo—he wants Facebook to develop “the social infrastructure for community,” he writes—but what he’s really describing is building a media company with classic journalistic goals... “for keeping us safe, for informing us, for civic engagement, and for inclusion of all.”,,,an assumption that news... will con…

If there’s a single Top3ic running through the following stories, it’s probably Artificial Intelligence (AI), but I’m deeply into learning about psychology for the moment, so that’s my starting point.

our current misinformation problem is only the tip of a massive iceberg — and this looming disaster starts with AI...when we see a picture that seems very unlikely, we naturally assume that it is photoshopped... with AI, we are heading toward a world where this will be the case with every form of media: text, voice, video, etc.

two potential progressions from natural language processing to artificial intelligence. For the symbolic path, we need to build world models based on deep and organized representations. Success on this path requires that the models we build be comprehensive and flexible. For the sub-symbolic path, we need to train large neural networks in an envir…

an AI system that could generate explanatory, insightful articles... foster “a seamless interaction” between human and machine... Heliograf software identifies the relevant data, matches it with ... the template, merges them, and then publishes different versions across different platforms... alert reporters via Slack of any anomalies it finds in…

Chinese researchers usually speak English so they have the benefit of access to all the work disseminated in English. The English-speaking community, on the other hand, is much less likely to have access to work within the Chinese AI community... Baidu has rolled out neural network-based machine translation ... when Google and Microsoft did so...…

idea is that the human agents only handle requests too complex for a bot. But the enterprise software companies building automated responses and those that manage live chat services for workers are jostling over how to do the so-called “handoff,” or the step in which a customer gets routed from a bot to a human