The man who invented the World Wide Web, Tim Berners-Lee, argues that the evils of artificial intelligence have been exaggerated. ARTHUR GOLDSTUCK reports from Las Vegas.
The man who invented the World Wide Web could be mistaken for a schoolteacher, or perhaps a university professor. A slight build, spectacles and thinning brown hair combine with an almost humble demeanour that is difficult to associate with a legacy as great as any of the giants of the technology world.
Tim Berners-Lee was looking for an easier way to connect information when he first came up with the concept of the World Wide Web in the 1980s, while working as a physicist at the CERN laboratory in Switzerland. Today he is a director of the World Wide Web Consortium (W3C), which in effect sets the technical rules for how the Web operates. But he remains an academic, and is a senior researcher and founder chair at the MIT Computer Science and Artificial Intelligence Laboratory.
It is little wonder, then, that he is as preoccupied with artificial intelligence (AI) as he is with the Web. The latter remains his baby, however, and he has far more to say about it than any other topic. In March 2017, he issued an open letter warning that we have lost control of our personal data, that it’s too easy for misinformation to spread on the web, and that political advertising online needs transparency.
Clearly, he is not one to gloss over the perils of progress. So, when it was announced that he was to offer his insights into the dangers of AI at the Dell EMC 2017 conference in Las Vegas, it became the must-attend talk of an already-intensive convention.
The conference represented the first joint convention by two giants of the computer world, following computer manufacturer Dell’s purchase of storage leaders EMC for $67-billion – the biggest IT acquisition ever. EMC and its subsidiary VMware are responsible, respectively, for the storage and the management platforms of a large proportion of the world’s cloud computing infrastructure. The cloud, in turn, is going to be integral to AI, hosting and processing the massive amounts of data that will allow AI to help human beings make and act on decisions.It was no surprise that a record 13 500 delegates attended Dell EMC World. And it was no surprise that the lines to get into Berners-Lee’s “AI in Perspective” talk were almost as long as those for the conference’s opening keynote by Dell founder Michael Dell.
The Web founder did not disappoint.
While he speaks with a rapid-fire energy that sometimes appears to run ahead of his thoughts, he delivers his perspective of the future with both authority and empathy.
“The promise of AI is really exciting, but you still have to look at it as the thing which makes a lot of people concerned,” he says by way of introduction. “We have to look at not just the hopes, but also the fears.”
The promise, he says, is that of almost all computer projects:
“We’re trying to get machines to do things we don’t want to do, like filling out a form. A lot of the progress in computing starts off with simple things, like doing accounts and taxes. Translating languages has always been just about to happen, but is now starting to become functional.
“You can train a machine to beat a game. Instead of training it by looking at lots of people playing a game, you just teach it to play against it self and it becomes better than a human.
“You can grab yourself some cloud storage and some cloud computation and find some open data produced by government or scientific or enterprise, find lots of data, find the latest algorithm, and create something that has added value, and put out signal where there wasn’t signal before. Like enabling you to decide where to invest.
“More and more, computers are starting to tick off all those things we were told computers just couldn’t do. So these are very exciting times.”
There are two key problems in this Utopian vision, however. The first seems easily solved:
“There is a huge dearth of people who know how to do this stuff, but there will be more and more. The stuff is out there and you can teach yourself. The promise is huge.”
The second issue is that most difficult of challenges: public perception. Berners-Lee talks about an AI Spring, when the world was full of hope, turning into an AI winter: “The world turned on them and said: ‘You were supposed to give us robots by now, what happened? This sucks’.”
At the same time, the fear is building that AI will take away jobs.
“Suddenly its no longer AI. Now it’s Natural Language Processing, now it’s self-driving cars. But they wont call it AI.”
The three fears of AI
Berners-Lee addresses the fears of AI in “three pieces”:
“Let’s talk about robots replacing jobs. The first take you get on AI: are robots going to take my job or all the jobs of my people? Is an autonomous vehicle going to take my job? Autonomous vehicles are coming. A lot of people, when they arrive somewhere as immigrants, or people between jobs, start out with Uber or a cab company, where driving is one of the things they can do. If that goes away, there is going to be a big shift and we have to be responsible about how we do these things.”
The second big category of AI fears lies in its ability to generate fake news. However, Berners-Lee sees AI as the solution rather than the problem: “AI can be a frontline defence against things which can be proven to be false. There’s no way of really objecting to the decisions of AI.”
The third and most famous category, he says, is the Singularity – when AI surpasses human intelligence.
“Is all this getting out of control? As a kid I read Asimov books, Arthur C Clarke book. Asimov imagined robots would become just as powerful as us and therefore they’d have to be controlled. Ask people who make robots about the problem of robots becoming smarter than you, they say, ‘Do you know how difficult it is to build a robot? You know how long it’s going to take, getting smarter than us?’ Don’t worry about it.”
He mocks the current trend in movies of showing future robots not only as smart, but humanoid, female, beautiful, blonde and blue-eyed, with female voices.
“By the time they are smarter than us, they won’t look like us. A lot of the intelligence already out there is sitting in the cloud, it doesn’t have blue eyes, but it does play a part in our society.
“The funny thing is, we’re worrying about robots, but we’re not worrying about the companies that program them. People are not good at stopping bad things.”
In short, he says real people, rather than artificial intelligence, are the bigger threat.
Millennials turning 40: NOW will you stop targeting them?
It’s one of the most overused terms in youth marketing, and probably the most inaccurate, writes ARTHUR GOLDSTUCK
One of the most irritating buzzwords embraced by marketers in recent years is the term “millennial”. Most are clueless about its true meaning, and use it as a supposedly cool synonym for “young adults”. The flaw in this targeting – and the word “flaw” here is like calling the Grand Canyon a trench – is that it utterly ignores the meaning of the term. “Millennials” are formally defined as anyone born from 1980 to 2000, meaning they have typically come of age after the dawn of the millennium, or during the 21st century.
Think about that for a moment. Next year, the millennial will be formally defined as anyone aged from 20 to 40. So here you have an entire advertising, marketing and public relations industry hanging onto a cool definition, while in effect arguing that 40-year-olds are youths who want the same thing as newly-minted university graduates or job entrants.
When the communications industry discovers just how embarrassing its glib use of the term really is, it will no doubt pivot – millennial-speak for “changing your business model when it proves to be a disaster, but you still appear to be cool” – to the next big thing in generational theory.
That next big thing is currently Generation Z, or people born after the turn of the century. It’s very convenient to lump them all together and claim they have a different set of values and expectations to those who went before. Allegedly, they are engaged in a quest for experience, compared to millennials – the 19-year-olds and 39-olds alike – supposedly all on a quest for relevance.
In reality, all are part of Generation #, latching onto the latest hashtag trend that sweeps social media, desperate to go viral if they are producers of social content, desperate to have caught onto the trend before their peers.
The irony is that marketers’ quest for cutting edge target markets is, in reality, a hangover from the days when there was no such thing as generational theory, and marketing was all about clearly defined target markets. In the era of big data and mass personalization, that idea seems rather quaint.
Indeed, according to Grant Lapping, managing director of DataCore Media, it no longer matters who brands think their target market is.
“The reason for this is simple: with the technology and data digital marketers have access to today, we no longer need to limit our potential target audience to a set of personas or segments derived through customer research. While this type of customer segmentation was – and remains – important for engagements across traditional above-the-line engagements in mass media, digital marketing gives us the tools we need to target customers on a far more granular and personalised level.
“Where customer research gives us an indication of who the audience is, data can tell us exactly what they want and how they may behave.”
Netflix, he points out, is an example of a company that is changing its industry by avoiding audience segmentation, once the holy grail of entertainment.
In other words, it understands that 20-year-olds and 40-year-olds are very different – but so is everyone in between.
* Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee
Robots coming to IFA
Robotics is no longer about mechanical humanoids, but rather becoming an interface between man and machine. That is a key message being delivered at next month’s IFA consumer electronics expo in Berlin. An entire hall will be devoted to IFA Next, which will not only offer a look into the future, but also show what form it will take.
The concepts are as varied as the exhibitors themselves. However, there are similarities in the various products, some more human than others, in the fascinating ways in which they establish a link between fun, learning and programming. In many cases, they are aimed at children and young people.
The following will be among the exhibitors making Hall 26 a must-visit:
Leju Robotics (Stand 115) from China is featuring what we all imagine a robot to be. The bipedal Aelos 1s can walk, dance and play football. And in carrying out all these actions it responds to spoken commands. But it also challenges young researchers to apply their creativity in programming it and teaching it new actions. And conversely, it also imparts scholastic knowledge.
Cubroid (Stand 231, KIRIA) from Korea starts off by promoting an independent approach to the way it deals with tasks. Multi-functional cubes, glowing as they play music, or equipped with a tiny rotating motor, join together like Lego pieces. Configuration and programming are thus combined, providing a basic idea of what constitutes artificial intelligence.
Spain is represented by Ebotics (Stand 218). This company is presenting an entire portfolio of building components, including the “Mint” educational program. The modular system explains about modern construction, programming and the entire field of robotics.
Elematec Corporation (Stand 208) from Japan is presenting the two-armed SCARA, which is not intended to deal with any tasks, but in particular to assist people with their work.
Everybot (Stand 231, KIRIA) from Japan approaches the concept of robotics by introducing an autonomous floor-cleaning machine, similar to a robot vacuum cleaner.
And Segway (Stand 222) is using a number of products to explain the modern approach to battery-powered locomotion.
IFA will take place at the Berlin Exhibition Grounds (ExpoCenter City) from 6 to 11 September 2019. For more information, visit www.ifa-berlin.com