Healthbots: the new caregivers

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

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Movie tickets bought, travel booked, customer service problems resolved. Chatbots perform so many tasks that the best ones blend into the background of everyday transactions and are often overlooked. They’re being adopted seamlessly by one industry after the next, but their next widespread application poses unique challenges.

Now healthbots are poised to become the new frontline for triage, replacing human medical professionals as the first point of contact for the sick and the injured.

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Making AI in our own image is a mistake

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

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When the Chinese news agency Xinhua demonstrated an AI anchorperson, the reaction of the internet was predictably voluble. Was this a gimmick or a sign of things to come? Could the Chinese government literally be turning to artificial puppets to control the editorial content of the country’s news channels? Are we careening towards a future where the humans and humanoid bots are indistinguishable?

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If internet trolls are cybercriminals, can AI stop them?

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

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In May 2017, the WannaCry ransomware attack made international headlines. The breach (which was later linked to North Korea) used leaked NSA tools to target businesses that were running outdated Windows software. WannaCry wreaked havoc by encrypting user data and then demanding  Bitcoin ransom payments. Hackers gave victims 7 days to pay, threatening to delete the files of those who wouldn’t comply.

Though a “kill switch” was ultimately discovered, the attack affected over 200,000 business in 150 countries. It has been estimated that WannaCry caused hundreds of millions – and perhaps even billions – of dollars of damage.

Despite the alarm and headlines associated with it, the WannaCry attack was neither unique nor especially surprising. In today’s connected world we have almost become accustomed to these types of hostile acts. Yahoo. Equifax. Ashley Madison. The list goes on.  Technology has catalyzed big changes to our conception crime, and while the word still attaches itself to physical infringements like theft and assault, “crime” now captures a broad range of clandestine activities, including so-called cybercrimes.

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What AI can learn from nature

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

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In designing his famous flying machine, Leonardo da Vinci took inspiration from bird flight. The inventor’s Codex on the Flight of Birds, details their behaviors and makes proposals for mechanical flight that would influence the development of the first modern airplane hundreds of years later.

Birds aren’t the only animals to influence scientific progress. For many years scientists have sought to unlock the extraordinary qualities of shark skin, which has huge advantages for both increasing speed and repelling germs. Recently, Walmart filed a patent for the creation of a swarm of robotic bees which they hope to use for the autonomous pollination of crop fields. Perhaps unsurprisingly, the humble original is perfectly designed for the task.

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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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The Negative Feedback Loop: Technology Needs To Know When It Gets Things Wrong

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Cathy O’Neil’s now infamous book, Weapons of Math Destruction, talks about the pernicious feedback loop that can result from contentious “predictive policing” AI. She warns that the models at the heart of this technology can sometimes reflect damaging historical biases learned from police records that are used as training data.

For example, it is perfectly possible for a neighborhood to have a higher number of recorded arrests due to past aggressive or racist policing policies, rather than a particularly high instance of crime. But the unthinking algorithm doesn’t recognize this untold story and will blindly forge ahead, predicting the future will mirror the past and recommending the deployment more police to these “hotspot” areas.

Naturally, the police then make more arrests on these sites, and the net result is that the algorithm receives data that makes its association to grow even stronger.

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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

Ready To Be “Deepfaked”? 3 Reasons You Should Be Concerned About The Internet’s Creepiest Data Heist

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Fraudsters typically line their pockets by forging our signatures, cloning our credit cards, and stealing our personal identities. Yet, we’d like to think that folks who know us personally – our family, friends, colleagues, and acquaintances – would catch these counterfeiters out if they brazenly claimed to be us in public. After all, seeing is believing isn’t it? If you don’t look like me, you’re not me. If you do look like me, the chances are that you are me. Right?

Well…maybe. And this could soon become the subject of some confusion.

But how?

Well, imagine if stealing your identity could include stealing your image. And if scammers could then use that image to put words in your mouth and – in some cases – fake your very actions. This isn’t just some outlandish thought experiment, but a foreseeable hazard if we fail to prepare for a surge in the production of “deepfakes”.  Continue reading

Five things that will soon seem quaint thanks to AI

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Remember VHS? Or downloading music onto your iPod? If you do, the chances are it doesn’t seem too long ago – and that’s because it wasn’t. At least not in the scheme of things.

Think about it.

Our ancestors were stuck with pen and ink for a good long while before those clacky, qwerty typewriters came along. Similarly, it took millennia for us to eventually switch our stirrups for steering wheels (and, alas, lose those well-honed riding skills!). In more recent history, video did indeed kill the radio star, and smartphones killed-off just about every other mode of communication…

But technological evolution does not end here. As we speak, AI innovators are dreaming up new ways to automate the daily processes we currently take for granted. So, as we forge ahead into a new(ish) world of bots and blockchain, which fundamental parts of our lives will soon seem as charming as carrying a handkerchief…?

(And what kinds of opportunities might emerge?) Continue reading