Two artificial intelligence (AI) trends that will become a reality in 2019 – the rapid broadening of AI and its ability to create thousands of jobs – are not being widely spoken about.
Purpose-built algorithms will become obsolete
There is a lot of talk about when AI will be smarter than human beings. The reality is, when it comes to certain singular tasks, AI has been smarter than humans for a long time.
Consider the humble calculator, which delivers flawlessly time after time. The best human brains are only capable of completing large calculations accurately about 80% of the time, and they take considerably longer to do so.
Tasks of increasing complexity, such as banking transactions, can be concluded significantly faster by an automated teller machine (ATM) than a human teller. The ATM is also more accurate and doesn’t become tired.
At a task as complex as chess, AI had already beaten the best human player in 1997.
What most people refer to when discussing the prospect of AI becoming smarter than human beings is the broadening of AI. Broadening refers to a broad algorithm that can teach itself to master many tasks, such as Google’s one algorithm to rule them all. By the end of 2017, this algorithm started beating purpose-built algorithms in several fields.
Given that AI’s strength doubles every six months, broad algorithms are highly likely to outperform a huge number of purpose-built algorithms by the end of 2019.
Why are people not talking about this?
Given that things move linearly in our evolutionary environment, human brains are not wired for exponential equations. For example, if algae doubles every day and takes 40 days to cover an entire lake, how much time did it take to cover 25% of the lake? The answer is: 38 days, the other 75% came in just 2 days.
AI is a bit like the algae. It doubles every six months. By 2016, we had been working on generalised AI for several years and hadn’t made much progress. By 2017, we started to get some results and by 2018 it began to beat some of our purpose-built results. This is why it is extremely likely that generalised AI will surpass a plethora of purpose-built algorithms this year and we will have no use for them anymore.
AI will create more jobs than it destroys
The narrative around AI is often pessimistic, with self-proclaimed pundits predicting countless job losses and other equally woeful outcomes. The fact is that AI has the potential to create many more jobs than it destroys. Many multiples more.
With the unemployment rate hovering around the 27%-mark, South Africa is desperate to find ways to help the unemployed become more economically active. A poor education system and a large pool of people without qualifications or skills means that even if jobs are available, many of these people cannot be considered for them.
Reducing unemployment would be the single greatest contributor to a better South Africa. Getting everybody into a job would massively reduce crime, increase productivity and change citizens’ outlook on voting.
Economically speaking, the only sustainable way to get someone to earn a higher wage is to increase their skills and productivity. Consider a domestic worker, who is expected to complete various cleaning chores. For her to move up the skills value chain where she is managing the household, buying groceries and cooking, would require training and experience.
This is where AI can play a significant role and have a huge impact on society. For someone to be employed, the marginal value they add for the next person needs to be more than the marginal cost of employing that person. AI can dramatically skill people up, making them more valuable. In fact, the lower people are on the labour rung, the larger the effect AI can have on their productivity.
So, if the domestic worker, who only has basic cooking skills, harnesses AI to access various programmes or apps that help her create gourmet meals, she instantly moves up the skills value chain. Similarly, a gardener can become an Uber driver and go from making R150 per day to potentially earning R150 per hour.
The reason we don’t currently have an app to show someone how to create food step-by step is because creating a bespoke AI algorithm has been prohibitively expensive. The broadening of AI, however, will change this and result in apps that will help increase the marginal value of people and significantly reduce unemployment in South Africa.
Uber is an excellent example of the power of AI to reduce unemployment. Prior to Uber, South Africa had tiny meter taxi industry. The advent of Uber has seen a massive expansion of the pay-for-ride industry, creating thousands of jobs.
The possibilities are endless. Imagine a gardener becoming a landscape expert, a driver gaining motor mechanic skills, a domestic worker becoming a culinary expert or a super nanny. AI can do this. It’s already doing it. And, if left to its own devices, it will happen organically.
Eugene Kaspersky posts from 2050
In his imagined blog entry from the year 2050, the Kaspersky Lab founder imagines an era of digital immunity
In recent years, digital systems have moved up to a whole new level. No longer assistants making life easier for us mere mortals, they’ve become the basis of civilisation — the very framework keeping the world functioning properly in 2050.
This quantum leap forward has generated new requirements for the reliability and stability of artificial intelligence. Although some cyberthreats still haven’t become extinct since the romantic era around the turn of the century, they’re now dangerous only to outliers who for some reason reject modern standards of digital immunity.
The situation in many ways resembles the fight against human diseases. Thanks to the success of vaccines, the terrible epidemics that once devastated entire cities in the twentieth century are a thing of the past.
However, that’s where the resemblance ends. For humans, diseases like the plague or smallpox have been replaced by new, highly resistant “post-vaccination” diseases; but for the machines, things have turned out much better. This is largely because the initial designers of digital immunity made all the right preparations for it in advance. In doing so, what helped them in particular was borrowing the systemic approaches of living systems and humans.
One of the pillars of cyber-immunity today is digital intuition, the ability of AI systems to make the right decisions in conditions where the source data are clearly insufficient to make a rational choice.
But there’s no mysticism here: Digital intuition is merely the logical continuation of the idea of machine learning. When the number and complexity of related self-learning systems exceeds a certain threshold, the quality of decision-making rises to a whole new level — a level that’s completely elusive to rational understanding. An “intuitive solution” results fromthe superimposition of the experience of a huge number of machine-learning models, much like the result of the calculations of a quantum computer.
So, as you can see, it has been digital intuition, with its ability to instantly, correctly respond to unknown challenges that has helped build the digital security standards of this new era.
M-Net to film Deon Meyer novel
A television adaptation of Deon Meyer’s crime novel Trackers is to be co-produced by M-Net, Germany’s public broadcaster ZDF, and HBO subsidiary Cinemax, which will also distribute the drama series worldwide.
“Trackers is an unprecedented scripted television venture and MultiChoice and M-Net are proud to chart out new territory … allowing local and international talent to combine their world-class story-telling and production skills,” says MultiChoice CEO of General Entertainment, Yolisa Phahle.
HBO, Cinemax, and M-Net also launched a Producers Apprenticeship programme last year when the Cinemax series Warrior, coming to M-Net in July, was filmed in South Africa. Some other Cinemax originals screened on M-Net include Banshee, The Knick and Strike Back.
“Cinemax is delighted to partner with M-Net and ZDF in bringing Deon Meyer’s unforgettable characters and storytelling—all so richly rooted in the people and spectacular geography of South Africa—to screens around the world,” says Len Amato, President, HBO Films, Miniseries, and Cinemax.
Filming for Trackers has already started in locations across South Africa and the co-production partners have been working together on all aspects of production
Deon Meyer, whose award-winning crime novels have been translated into more than 20 languages, with millions of copies sold worldwide, serves as a supervising screenwriter and co-producer; British writer Robert Thorogood (Death in Paradise) is the showrunner. The team of South African writers on the project includes the Mitchell’s Plain playwright, screenwriter and director Amy Jephta (Die Ellen Pakkies Story) and local writer/directors Kelsey Egen and Jozua Malherbe.
The cast for the six-part miniseries includes Ed Stoppard, Rolanda Marais, James Alexander and Thapelo Mokoena.
Trackers will make its debut on M-Net 101 in October 2019 and will also be available on MultiChoice’s on-demand service, Showmax. The six-part drama series is produced by UK production company Three River Studios as well as South Africa’s Scene 23.