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Posts tagged “ai”

How YouTube leads viewers down a rabbit hole of extremism

Two related articles about YouTube caught my eye over the past few days. The first, Zeynep Tufekci’s YouTube, the Great Radicalizer explains how YouTube’s algorithms almost always lead people to conspiracy theory videos:

It seems as if you are never “hard core” enough for YouTube’s recommendation algorithm. It promotes, recommends and disseminates videos in a manner that appears to constantly up the stakes. Given its billion or so users, YouTube may be one of the most powerful radicalizing instruments of the 21st century. […]

What we are witnessing is the computational exploitation of a natural human desire: to look “behind the curtain,” to dig deeper into something that engages us. As we click and click, we are carried along by the exciting sensation of uncovering more secrets and deeper truths. YouTube leads viewers down a rabbit hole of extremism, while Google racks up the ad sales.

This is bad enough, but then there’s James Cook’s article YouTube suggested conspiracy videos to children using its Kids app, in which he explains how not even the YouTube Kids app is immune to this:

YouTube’s app specifically for children is meant to filter out adult content and provide a “world of learning and fun,” but Business Insider found that YouTube Kids featured many conspiracy theory videos which make claims that the world is flat, that the moon landing was faked, and that the planet is ruled by reptile-human hybrids.

I try not to be too quick to call technology evil, but this is definitely not a “all technology is neutral” situation. Product managers and developers have the power to stop this kind of escalation from happening.

Alexa, make my kids more self-sufficient

I accidentally went to a Best Buy the other day. To make a long story short, after an unplanned but long and pleasant chat with an Amazon rep I walked out with an Amazon Echo. Much has been written about Alexa and how good it is, and everything you’ve read about it is accurate. But I want to focus on a different aspect of Alexa: how it’s making my kids more self-sufficient.

See, the thing about kids is, they need you all the time. And that’s cool, because we’re their parents and we love them and we want to be there for them. But some tasks are incredibly boring and menial. I’ve outsourced some of those to Alexa to the great delight of our kids, who continue to find new things she never gets tired of doing.

Alexa, turn on some music that Mom and Dad are totally sick of

The biggest win for my kids so far has been the realization that they can listen to any music they want to. Right now it’s the Moana and Trolls soundtracks. Over and over and over and over and over and… But that’s ok, because my wife and I can be in another room, and they can listen to Get your hair up as much as they want without driving us insane.

Alexa, help us not fight over the iPad

We let our kids do iPad. Let’s just get that out of the way first. Anyway, it’s usually a choice between TV or iPad, and when they choose iPad it tends to result in a constant fight over whose turn it is. Not any more. Now they each get two turns of 10 minutes, and Alexa keeps score. They use Alexa to set the timer, and there hasn’t been any fighting (well, about this…) since.

Alexa, make us laugh

My daughters aren’t big fans of my jokes. It’s fine, I’m not bitter about it. Anyway, they discovered Alexa tells jokes too. I personally think my jokes are way better than hers, and here’s my proof:

Like I said, I’m not bitter about it.

Alexa, are we bad parents?

This is, of course, the big question when it comes to technology. Should we immerse our kids in it or should we shield them from it? We all find our own way when it comes to parenting, and even though we’re still working on what this technology balance looks like, my current feeling is that voice-activated UI doesn’t have many of the issues that are traditionally brought up as negatives about kids and technology.

First of all, Alexa is inherently social. It’s conversational, friendly, and it never gets tired. We laugh at her together. The Echo is not an “alone” device, and I think there’s something really powerful about that. But second, it’s also really useful. Our kids love asking it questions, and coming up with new ways to trick it into a misunderstanding.

Conversational UI certainly has a long way to go. But I will say that I am so far pleasantly surprised with the natural way in which it integrates with our family life. It’s not a substitute for human interaction and connection, and our kids get that. But as a useful playmate of an entirely “other” type of technology, it’s a winner.

You have a machine voice

Tom Dart wrote a really interesting piece on how we change our accents when we talk to machines. From Y’all have a Texas accent? Siri (and the world) might be slowly killing it:

“Most people have what we would call a telephone voice, so they actually change away from their local family accent when they’re speaking on the telephone to somebody they don’t know,” said Alan Black, a Scottish computer scientist who is a professor at the Language Technologies Institute at Carnegie Mellon University in Pittsburgh.

They also have a “machine voice”, he said. “People speak to machines differently than how they speak to people. They move into a different register. If you’re standing next to somebody in an airport or at a bus stop or something, you can typically tell when they’re talking to a machine rather than talking to a person.”

This part on the design of Siri is really interesting:

Black speculated that “one of the reasons they designed Siri to be fundamentally a polite, helpful agent who isn’t your friend but works for you, is to encourage people to be somewhat polite and explicit to her, rather than being very colloquial. Because speech recognition is always hard when you drop into colloquialisms.”

The most dangerous thing about self-driving cars

Cliff Kuang makes some interesting points in his essay The Secret UX Issues That Will Make (Or Break) Self-Driving Cars:

Recall that first principle that [Brian Lathrop at Volkswagen] laid out for designing autonomous cars—that the driver has to know whether the car is driving itself. That harks to probably the oldest dictate in interface design; mode confusion causes 90% of airplane crashes, and that insight helped invent the field of human-computer interaction. Think about all the times you’ve heard news reports about a pilot being confused about whether the flaps of the wings were down, or whether to auto-pilot was properly set. If you’ve ever failed to realize that your car was in park when you hit the accelerator, or you’ve ever tried typing into the wrong window on your computer screen, you’ve been a victim of mode confusion.

So, the scariest thing about self-driving cars is not whether or not the car can drive safely, but whether it can effectively communicate when it is driving and when it is not. It’s the age-old Visibility of system status UI heuristic in action.

Automated empathy in healthcare

This is an interesting story on the topic of algorithmic empathy1. In Hospitals Employ Email ‘Empathy’ To Help Doctors And Patients Keep In Touch Barbara Feder Ostrov discusses a program that sends patients automated emails to ask them how they’re doing:

Doctors can send daily emails with information timed to milestones in surgery prep and recovery and ask patients or caregivers for feedback on specific issues patients may face during recovery.

The doctors may write their own email scripts, as Newport Orthopedics’ physicians did, or use the company’s suggested content. An online dashboard helps doctors and administrators keep track of which patients are doing well and who might need more follow-up care. Patients can also communicate with office staff about medications and office visits. Their responses to daily emails can trigger a call from the doctor’s office.

A patient might see this message: “How are you? Let me know so I can make sure you’re okay. I have four questions for you today.”

The program has had some promising results, but I’d be interested to know if patients are aware that the messages are automated. To put it another way, is it ethical for doctors to send automated, health-related messages that look like they’re individually crafted?


  1. See Personal AI assistants: the battle and the war

With self-driving cars cities will need 90% less parking

In An End to Parking? Clive Thompson writes about an aspect of self-driving cars that I haven’t seen before: the impact it will have on urban design. In particular, the amount of space we need for parking should change dramatically:

Robot cars could also drive much more closely to one another, packing far more vehicles onto a street. […]

What’s more, they’d never need to park. At the University of Texas-Austin, Kara Kockelman—a professor of transportation engineering—modeled the impact of autonomous ride-sharing vehicles and found that each one could replace up to a dozen regular cars. The robocars could drive all day long, stopping only to refuel or for maintenance; at night, when there was less demand, they could drive out to a remote parking spot on the outskirts of town. The upshot, Kockelman figures, is that if you shifted the entire city to autonomous cars, it would need a staggering 90 percent less parking than it needs today.

Personal AI assistants: the battle and the war

A friend once told me that for him, one of the weirdest moments as a parent was the realization that their kids have a relationship with each other, not just with him. That conversation always stuck with me, and when our own daughters started to have a bond with each other that’s completely separate from their bond with us, I understood what he meant. It’s just something that is, for some reason, very difficult to wrap one’s head around—these people you made, suddenly having lives apart from you. Today I’m thinking of that conversation again, but in a very different context—personal AI assistants, and what that means for how we design their interfaces.

But before I get there, let me take a step back and recap some of the recent conversations about personal AI. In The internet bundle is already here Dieter Bohn writes that AI personal assistants are a threat to net neutrality:

The bundle is already here, it came from places we haven’t been watching closely enough, and it has many names. There’s more than enough doomsaying about the issues related to Instant Articles, Internet.org, and Binge On. Instead, I’d like to take a minute to doomsay what could become the other opponents to the kind of free, transparent, and open internet we all want: Siri, Cortana, Alexa, Facebook M, and Google Now.

These intelligent assistants are great. I use them every day and expect I will continue to use them for, well, ever. But there’s a problem that’s built into them: they only seem to work with certain parts of the web and — here’s the real rub — certain apps.

Mark Wilson makes a similar argument in Why Every Gadget You Own Suddenly Wants To Talk To You, and then takes the argument further to imagine what happens when you have a bunch of non-neutral devices in your home:

But the problem with a scenario in which you can talk to anything is that you’re no longer talking to one thing. Only so many ears can live in one room. If I muse aloud that I need more shampoo in the shower, what hears me? Is it my iPhone sitting at the sink? Alexa networked in my apartment? Some new smart water nozzle from Kohler? […]

As consumers, we’re caught in the middle of the convenience. Do we choose to side with Siri, Alexa, or Cortana, and talk only to her, despite looming bias and the risk of growing dependent on a single voice—a voice that could take advantage of us? Or do we side with a free market that gives a voice to every stupid overzealous object in our lives, however confusing that may be, in a world where ordering milk becomes a bidding war on a commodities training floor?

Which future do you root for? They both sound horrible.

All of this is part of a big “the conversation is the interface” trend we’ve been seeing a lot of recently (see The search for the killer bot and 2016 will be the year of conversational commerce). From a design perspective the main challenge we seem to be thinking about is how to give these AI assistants the right personality (see The Next Phase Of UX: Designing Chatbot Personalities and The New Intimacy Economy). But I wonder if that’s the wrong AI design focus. I wonder if we should rather spend our time encouraging design for what Alan Cooper calls The Edges:

The difficulty in making these systems work smoothly comes from their edges, not from their centers. Each vendor builds a reliable and effective product, and through diligent testing assures that they meet high standards of performance. The only place where those standards fall is at the edges, where the maker is unsure of the requirements.

The edges are the interfaces with entities outside their control, outside their offices. Out there they are a little unsure of what they have to do and what forces affect them. Inside the company’s four walls they know exactly what they’re making, how it should behave, and what it should do. But for the entities outside those four walls, some measure of haziness creeps in, notably, the user.

Applied to AI assistants (and back to my parenting story), this means we need to start thinking about not just how humans interact with Siri and Alexa, but how Siri and Alexa interact with each other. There is, of course, a huge disconnect here between user needs and business goals. It would be very beneficial for users if different AI assistants could interact with each other, but that doesn’t help companies to strengthen their silos.

The trouble is that if we don’t figure out how to do this (and do it profitably), we might lose more than the battle of whose personal assistant wins. We might lose the war of personal AI getting any significant user adoption.

The internet of all the things

In Why Every Gadget You Own Suddenly Wants To Talk To You Mark Wilson imagines a scenario where every single thing in your home is always connected, always listening:

As consumers, we’re caught in the middle of the convenience. Do we choose to side with Siri, Alexa, or Cortana, and talk only to her, despite looming bias and the risk of growing dependent on a single voice—a voice that could take advantage of us? Or do we side with a free market that gives a voice to every stupid overzealous object in our lives, however confusing that may be, in a world where ordering milk becomes a bidding war on a commodities training floor?

Which future do you root for? They both sound horrible.

This is the current situation we are in—The Internet of Way Too Many Things. We’ll eventually figure it out and make useful connected products, but right now it’s just a race to be first, although no one really seems to know first at what.

Work and identity (and the machines)

Michael Sacasas has an interesting viewpoint on the “machines are taking our jobs” argument. In Machines, Work, and the Value of People he argues that since we’ve so closely linked our value as human beings to the work we do, the issue of machines taking over hits us pretty hard:

So, to sum up: Some time ago, identity and a sense of self-worth got hitched to labor and productivity. Consequently, each new technological displacement of human work appears to those being displaced as an affront to the their dignity as human beings. Those advancing new technologies that displace human labor do so by demeaning existing work as below our humanity and promising more humane work as a consequence of technological change. While this is sometimes true–some work that human beings have been forced to perform has been inhuman–deployed as a universal truth, it is little more than rhetorical cover for a significantly more complex and ambivalent reality.

Combinatorial innovation and the automation of jobs

John Naughton wrote another interesting “the machines are coming for our jobs!” article1. This one is from the angle of “combinatorial innovation”—the idea that innovation happens when a bunch of disparate advances in technology come together in an unexpected way. His point in We are ignoring the new machine age at our peril is that it’s hard to see the implications of this kind of innovation:

The implications of [the self-driving] vehicle stretch far beyond the future of the automobile industry or even the future of transport. What it signals is that vast swaths of human activity – and employment – which were hitherto regarded as beyond the reach of “intelligent” machines may now be susceptible to automation. So we need to revise our assumptions about the future of work in the light of combinatorial innovation.


  1. See, for example, The Machines are Coming and As Robots Grow Smarter, American Workers Struggle to Keep Up