AI needs cooperation, not an arms race

This article by Fiona J McEvoy (YouTheData.com) was originally posted on All Turtles.

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Writing in the New York Times recently, venture capitalist Kai-Fu Lee signaled an important, oncoming change in the way we think about artificial intelligence. We are graduating, he cautioned, from an age of discovery and vision into a more practical era of implementation.

Lee is promoting his new book, titled A.I. Superpowers: China, Silicon Valley, and the New World Order, and he suggests that this transition from lab to launchpad may naturally privilege Chinese advantages—like data abundance and government investment—above the research capabilities and “freewheeling intellectual environment” of the U.S.

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Good Gadgets: The rise of socially conscious tech

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From algorithmic bias to killer robots, fake news, and the now almost daily prophesying about the dangers of AI, it’s fair to say that tech is under scrutiny.

Episodes like the Cambridge Analytica scandal opened our eyes to the fact that some of our nearest and dearest technologies had become fully socialized before we truly understood the full force of their influence. Consequently, new tools and gadgets coming down the line are being closely examined so that we can begin to uncover any damaging consequences that could manifest 10, 20, or even 100 years from now.

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Peer pressure: An unintended consequence of AI

This article by Fiona J McEvoy (YouTheData.com) was originally posted on All Turtles.

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Last winter, Kylie Jenner tweeted that she stopped using Snapchat, and almost immediately the company’s shares dropped six-percent, losing $1.3 billion in value. Her seemingly innocent comments had led investors to believe that the 20-year-old’s 25 million followers would do the same, and the knock-on effect would seal the social media apps fate as a “has been” among its key demographic of younger women.

This astonishing event demonstrates in technicolor how the notion of influence is evolving, latterly taking on a new significance. In the age of technology, though influence is still associated with power, it is no longer the limited reserve of “the Powerful”—i.e. those in recognized positions of authority, like bankers, lawyers, or politicians.

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Trying on wearables

This article by Fiona J McEvoy (YouTheData.com) was originally posted on All Turtles.

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The dramatic failures of Google Glass and Snapchat Spectacles demonstrated the countless challenges faced by wearable technologies. Beyond the ubiquitous activity trackers and smartwatches, wearable consumer products have yet to yield a mass-market success. Though the idea of wearable tech and human-technology synergy still gets marketers excited, product designers have yet to hit upon a breakout device that will prove as popular and indispensable as blue jeans. Still, the allure of developing such a product remains irresistible.

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AI and the future shape of product design

This article by Fiona J McEvoy (YouTheData.com) was originally posted on All Turtles.

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These days we talk so much about artificial intelligence and its creators that it’s easy to overlook the increasingly prolific role AI itself is playing in product creation and design. Across different industries, the technical and the creative are being drawn closely together to create a range of products that may otherwise never have been conceived.

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Take, for example, the new aerodynamic bicycle presented this month at the International Conference on Machine Learning, which was designed using Neural Concept software. By employing AI in the design phase, a small team from French college IUT Annecy were able to completely bypass the usual methods of testing for aerodynamism – a process that usually requires a great deal of time and computing power.

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Responsibility & AI: ‘We All Have A Role When It Comes To Shaping The Future’

This article was originally written for the RE•WORK guest blog. This week YouTheData.com founder, Fiona McEvoy, will speak on a panel at the San Francisco Summit

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The world is changing, and that change is being driven by new and emerging technologies. They are evolving the way we behave in our homes, work spaces, public places, vehicles, and with respect to our bodies, pastimes, and associates. All the time we are creating new dependencies, and placing increasing amounts of faith in the engineers, programmers and designers responsible for these systems and platforms.

As we slowly begin to delegate tasks that have until now been the sole purview of human judgment, there is understandable trepidation amongst some factions. Will creators build artificially intelligent machines that act in accordance with our core human values? Do they know what these moral imperatives are and when they are relevant? Are makers thoroughly stress-testing deep learning systems to ensure ethical decision-making? Are they trying to understand how AI can challenge key principles, like dignity and respect?

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You The Data: Our Posts Elsewhere!

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Read You The Data @ All Turtles

What The Google Duplex Debate Tells Us

“As we march further into a world in which human-AI distinctions are blurred, we need to ask whether we are comfortable chasing this kind of dupe… Just how important is it that our conversational bots sound exactly like real humans?” Read more.

Read You The Data @ Slate

What Are Your Augmented Reality Property Rights?

“We were unprepared for many of the consequences of social media. Now is the time to address the many questions raised by the coming ubiquity of augmented reality.” Read more. 

 

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The Problem with Next Generation Virtual Assistants

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It may not seem like it, but there is quite an arms race going on when it comes to interactive AI and virtual assistants. Every tech company wants their offering to be more intuitive…more human. Yet although they’re improving, voice activated tech like Alexa and Siri are still pretty clunky, and often underwhelming in their interactions.

This obviously isn’t great if developers want to see them entering the workplace in such a way as to supercharge sales.  Continue reading

The Eyes Have It: Three Reasons to be Cautious About Emotion-Tracking Recruitment AI

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Predictive, data-driven software is becoming ubiquitous, and as such our reliance upon it is steadily intensifying. The locus of knowledge is becoming external to us again for the first time since the onset of humanism in the 18th century, and we increasingly prefer the forecasts of artificially intelligent systems to our own experience or intuition.

Of all the arenas in which these predictions fascinate and compel our decision-making, perhaps the most prevalent are those that see algorithms foretell the behaviors of our fellow human beings. What they prefer, what they react to, where they go, who they’ll flirt with, whether they’re likely pay back a loan, or even commit a crime.

Quite simply, we are coming to believe that machines know us better than we can know ourselves.  Continue reading