If everything's being automated, let's hope we'll like our robots

The robots may be taking our jobs - even making our coffee - but that doesn't mean we'll be fond of them.

How do you make the inevitable robot uprising easier to stomach? Those thinking we were guaranteed a future of flipping burgers and making coffee for each other will be disheartened to hear that coffee company Briggo has managed to solve the latter of those issues with an autonomous kiosk. Christopher Mims at Quarts explains:

Inside, protected by stainless steel walls and a thicket of patents, there is a secret, proprietary viscera of pipes, storage vessels, heating instruments, robot arms and 250 or so sensors that together do everything a human barista would do if only she had something like perfect self-knowledge. “How is my milk steamer performing? Am I a half-degree off in my brewing temperature? Is my water pressure consistent? Is there any residue buildup on my brewing chamber that might require me to switch to a backup system?”

The Briggo coffee kiosk knows how to make a perfect coffee because it was “trained” by an award-winning barista, Patrick Pierce. He's since left the company, but no matter: as in the techno-utopian Singularity, whose adherents believe that some day we will all upload our brains to computers, once a barista's essence has been captured by Briggo, his human form is just a legacy system.

That last bit will sound familiar to Star Wars fans - Patrick Pierce is Starbucks' Jango Fett, and his wood-panelled Yves Behar-designed clones are the stormtrooper clones of high street coffee. It's not just able to match us, it's able to match the absolute best of us.

It's worth reading Mims' piece in full, as he goes on to explain that Nespresso - that little coffee capsule system - has replaced the coffee machines in many of Europe's Michelin-starred restaurants. Anyone, with minimal training, can make a consistently top-class coffee using those capsule. Why bother training a barista? And, as the Brisso kiosk shows, why even bother hiring a human to put the capsule into the machine?

For those who actually enjoy human interaction at places like coffee shops, this is a sad thing. Robots aren't friends. A designer's basic job is to make things that humans can and want to use, and that's going to start meaning “making robots that we want to interact with”.

To whit, here's a video some researchers at MIT have made demonstrating their idea for a helpful, flying drone that people can call with their smartphones. It's a bit like a tour guide:

Drones, of course, have a terrible reputation, because for every one that is put to good use delivering burritos, there are ones being used to bomb people without warning in places like Pakistan and Yemen. As Dezeen tells it:

Yaniv Jacob Turgeman, research and development lead at Senseable City Lab, said SkyCall was designed to counter the sinister reputation of drones, and show they can be useful. "Our imaginations of flying sentient vehicles are filled with dystopian notions of surveillance and control, but this technology should be tasked with optimism," he told Dezeen.

That optimism comes in the form of a friendly, female - but still distinctly robotic - voice. It's like something from a computer game. Is it particularly reassuring? Not massively. It doesn't give off that trustworthy vibe you'd get from another human, or even a paper map.

Trustworthiness is a theme that's been explored in science fiction for years and years, of course, from Fritz Lang's Metropolis to Will Smith's I, Robot, so it's not surprising to see designers begin to tackle it. You also get the idea of the "uncanny valley" thrown around - if you plot a graph of "human likeness" on the x-axis of a graph and "how real it looks to people" on the y-axis, you get a steady correlation that collapses (into a "valley" shape") just before it reaches actual human likeness. That is, the objects that creep us out the most are the things that look closest to human as possible while just falling short. It's all a way of saying that creating things that look like humans, for situations where we expect humans, is tricky.

Studies that have looked at what kind of human-likeness we want in our robots have given rise to some surprising results. Akanksha Prakash from Georgia Tech carried out one such study, and its results (published earlier this month) show that, often, participants don't actually want to be helped by human-like robots. The more delicate the task - like having help in the bath - the more divisive the opinions on whether something human-like is better.

There's also a generational divide, with younger people not minding things that look like human-robot hybrids around the house, whereas older people prefer the straightforwardly human. There are clearly a lot of psychological factors at work that are going to prove a challenge to designers hoping that their product - whatever it is - becomes a hit.

Perhaps when the robots arrive they'll still have some human-like features, in the same way that some smartphones still use yellow, lined paper to give people a clue that the app they've opened is for making notes - or like wood-panelling on the side of an autonomous coffee kiosk.

You'd rather play with the one on the right, wouldn't you? (Photo: Getty)

Ian Steadman is a staff science and technology writer at the New Statesman. He is on Twitter as @iansteadman.

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A quote-by-quote analysis of how little Jeremy Hunt understands technology

Can social media giants really implement the health secretary’s sexting suggestions? 

In today’s “Did we do something wrong? No, it was social media” news, Health Secretary Jeremy Hunt has argued that technology companies need to do more to prevent sexting and cyber-bullying.

Hunt, whose job it is to help reduce the teenage suicide rate, argued that the onus for reducing the teenage suicide rate should fall on social media companies such as Facebook and Twitter.

Giving evidence to the Commons Health Committee on suicide prevention, Hunt said: “I think social media companies need to step up to the plate and show us how they can be the solution to the issue of mental ill health amongst teenagers, and not the cause of the problem.”

Pause for screaming and/or tearing out of hair.

Don’t worry though; Hunt wasn’t simply trying to pass the buck, despite the committee suggesting he direct more resources to suicide prevention, as he offered extremely well-thought out technological solutions that are in no way inferior to providing better sex education for children. Here’s a quote-by-quote analysis of just how technologically savvy Hunt is.

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“I just ask myself the simple question as to why it is that you can’t prevent the texting of sexually explicit images by people under the age of 18…”

Here’s Hunt asking himself a question that he should be asking the actual experts, which is in no way a waste of anybody’s time at all.

“… If that’s a lock that parents choose to put on a mobile phone contract…”

A lock! But of course. But what should we lock, Jeremy? Should teenager’s phones come with a ban on all social media apps, and for good measure, a block on the use of the camera app itself? It’s hard to see how this would lead to the use of dubious applications that have significantly less security than giants such as Facebook and Snapchat. Well done.

“Because there is technology that can identify sexually explicit pictures and prevent it being transmitted.”

Erm, is there? Image recognition technology does exist, but it’s incredibly complex and expensive, and companies often rely on other information (such as URLs, tags, and hashes) to filter out and identify explicit images. In addition, social media sites like Facebook rely on their users to click the button that identifies an image as an abuse of their guidelines, and then have a human team that look through reported images. The technology is simply unable to identify individual and unique images that teenagers take of their own bodies, and the idea of a human team tackling the job is preposterous. 

But suppose the technology did exist that could flawlessly scan a picture for fleshy bits and bobs? As a tool to prevent sexting, this still is extremely flawed. What if two teens were trying to message one another Titian’s Venus for art or history class? In September, Facebook itself was forced to U-turn after removing the historical “napalm girl” photo from the site.

As for the second part of Jezza’s suggestion, if you can’t identify it, you can’t block it. Facebook Messenger already blocks you from sending pornographic links, but this again relies on analysis of the URLs rather than the content within them. Other messaging services, such as Whatsapp, offer end-to-end encryption (EE2E), meaning – most likely to Hunt’s chagrin – the messages sent on them are not stored nor easily accessed by the government.

“I ask myself why we can’t identify cyberbullying when it happens on social media platforms by word pattern recognition, and then prevent it happening.”

Jeremy, Jeremy, Jeremy, Jeremy, can’t you spot your problem yet? You’ve got to stop asking yourself!

There is simply no algorithm yet intelligent enough to identify bullying language. Why? Because we call our best mate “dickhead” and our worst enemy “pal”. Human language and meaning is infinitely complex, and scanning for certain words would almost definitely lead to false positives. As Labour MP Thangam Debbonaire famously learned this year, even humans can’t always identify whether language is offensive, so what chance does an algorithm stand?

(Side note: It is also amusing to imagine that Hunt could even begin to keep up with teenage slang in this scenario.)

Many also argue that because social media sites can remove copyrighted files efficiently, they should get better at removing abusive language. This is a flawed argument because it is easy to search for a specific file (copyright holders will often send social media giants hashed files which they can then search for on their databases) whereas (for the reasons outlined above) it is exceptionally difficult for algorithms to accurately identify the true meaning of language.

“I think there are a lot of things where social media companies could put options in their software that could reduce the risks associated with social media, and I do think that is something which they should actively pursue in a way that hasn’t happened to date.”

Leaving aside the fact that social media companies constantly come up with solutions for these problems, Hunt has left us with the burning question of whether any of this is even desirable at all.

Why should he prevent under-18s from sexting when the age of consent in the UK is 16? Where has this sudden moral panic about pornography come from? Are the government laying the ground for mass censorship? If two consenting teenagers want to send each other these aubergine emoji a couple of times a week, why should we stop them? Is it not up to parents, rather than the government, to survey and supervise their children’s online activities? Would education, with all of this in mind, not be the better option? Won't somebody please think of the children? 

“There is a lot of evidence that the technology industry, if they put their mind to it, can do really smart things.

Alas, if only we could say the same for you Mr Hunt.

Amelia Tait is a technology and digital culture writer at the New Statesman.