Bigoted AI systems rightly deserve the universal flak they get. But there’s a problem: we might still be screwed even if AI is neutral. Unless artificial intelligence has the “right” biases, AI and people won’t coexist very well. Unless purposely wired to be ethical and people-centric, AI can be commandeered for malicious purposes or inadvertently cause serious socio-economic problems, not least of which is the precipitous loss of jobs. With machines already beating humans at manual tasks, games, back-office work, and even lawyering, who knows whether there’ll be any job left in the future for the vast majority of...Read More
The market for AI is so overhyped, virtually anybody looking for a fast buck can re-package an old abacus and sell it as a “machine learning” platform. Misinformed people buy the idea and the mounting frustration makes it extremely difficult for legitimate AI companies to get their message above the din. To successfully stand out in a crowded market, creative marketers have found it critical to create unconventional educational content and enlist the support of credible B2B influencers in their space. In the ever-shifting AI solutions ecosystem, even expert-led and well-thought out marketing campaigns can — and often — fail....Read More
AI is transforming all business functions, and software development is no exception. Not only can machine learning techniques be used to accelerate the traditional software development lifecycle (SDLC), they present a completely new paradigm for inventing technology. Traditionally, developing a computer programs requires you to specify in advance exactly what you want the system to do and then hand engineer all of the features of your technology. Encoding many tasks in an explicit way is possible, as computers before the advent of AI were still quite powerful. There are many tasks and decisions, however, that are far too complex...Read More
We don’t have to wait for AI to gain sentience and go rogue because the probability of intelligent automation being used by bad people for bad purposes is one…hundred…percent. Expect chaos when con artists conspire with convoluted neural networks. Assessing threats and preemptively developing defense mechanisms is critical for the good guys to prepare for, prevent, and mitigate potentially existential threats. That’s the core message of a comprehensive and rather alarming report prepared by some of the brightest (ahem, human) minds on artificial intelligence. Aptly entitled “The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation,” the 100-odd page policy...Read More
Marketing success depends on many factors. You need accurate consumer research to build your branding strategy, engaging content to delight your audience, a firm grasp of behavioral economics, and a near mystical ability to intuit how people will weigh your message against those of your fiercest competitors. In the digital age, marketers can’t win without mastering data, analytics, and automation. Fortunately, machine learning (ML) can already improve marketer performance on common tasks like customer segmentation, generating branded collateral, extracting and classifying relevant content, customer communication, and overall productivity and output. In the new economy, a marketing unit without machine learning mastery...Read More
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