Artificial intelligence (AI) is changing the world of business at an incredible pace, but there are some fantastic resources available to those that don't want to get left behind. With World Book Day upon us, we look at the best books on AI in business. In a world where you can get any information in a matter of seconds, the book can become a forgotten medium. But for those looking to future-proof their organisation, there are some excellent options that provide far more than a Google search can provide. There are thousands of books taking on the topic of AI and automation in business, but we've restricted ourselves to just five that offer a unique take on the topic.

But while it conveys change to the jobs market, its implications for higher education and society are paramount. If careers are changing, then it stands to reason that higher education needs to change along with it. Higher education finds itself at the very front of one of the most significant workplace shifts this century, and how it interprets and responds to that change to ensure everybody benefits will have a considerable impact not only on the global flow of students but the whole of society. As tomorrowland approaches, international educators should realise how key the classroom will be. Welcome to the machine Self-driving cars are a typical example of the way artificial intelligence is starting to replace humans in the workforce, says UK-based futurist Calum Chace. Replacing professional drivers not only makes economic sense – a driver can account for up to a half of a vehicle's operational costs – but self-driving cars have proven themselves to be significantly safer than humans.

If you believe the hype, then Artificial Intelligence (AI) is set to change the world in dramatic ways soon. Nay-sayers claim it will lead to, at best, rising unemployment and civil unrest, and at worst, the eradication of humanity. Advocates, on the other hand, are telling us to look forward to a future of leisure and creativity as robots take care of the drudgery and routine. A third camp – probably the largest – are happy to admit that the forces of change which are at work are too complicated to predict and, for the moment, everything is up in the air. Previous large-scale changes to the way we work (past industrial revolutions) may have been disruptive in the short-term. However, in the long term what happened was a transfer of labor from countryside to cities, and no lasting downfall of society.

If you believe the hype, then Artificial Intelligence (AI) is set to change the world in dramatic ways soon. Nay-sayers claim it will lead to, at best, rising unemployment and civil unrest, and at worst, the eradication of humanity. Advocates, on the other hand, are telling us to look forward to a future of leisure and creativity as robots take care of the drudgery and routine. A third camp – probably the largest – are happy to admit that the forces of change which are at work are too complicated to predict and, for the moment, everything is up in the air. Previous large-scale changes to the way we work (past industrial revolutions) may have been disruptive in the short-term. However, in the long term what happened was a transfer of labor from countryside to cities, and no lasting downfall of society.

According to Louis Rosenberg, the founder and CEO of Unanimous AI, one of the defining turning points in the evolution of AI was the famous moment that Deep Mind beat the reigning Go champion. Whilst its predecessors had been good at playing games, what Deep Mind was good at was playing people. This ability to predict how people will act makes it an incredibly useful tool, so it's no wonder that AI is gradually creeping into our lives. Often, this is without us even realising, crunching data, providing insights, and turning them into useful information. On the one hand, this is massively beneficial to humanity.

Clever computers that learn on the job could recast Britain's job market - for better or worse. What are the parties vying for power in the general election saying on the subject? Twenty-nine-year-old Lee Hayhow is the third generation of his family to work as a lorry driver, following his father and grandfather. He is proud of his job. "I've always enjoyed lorries and driving. I trained as a professional driver. I always do it to the best of my ability. He estimates it costs £3,000 to train as a heavy goods vehicles (HGVs) driver. Mr Hayhow's employer, O'Donovan Waste Disposal, paid for this, but not all firms do, he says. And he would be delighted to see the next generation of Hayhows - his two young daughters - follow his career path. But by then, the decision may not be theirs to take. Lorry driving, like many other jobs that help power the British economy, could be facing a huge shake-up. Advances in artificial intelligence (AI) - a field of computer science in which machines are taught to carry out tasks that require human traits of thought or intelligence - have led some to predict a knock-on catastrophe for jobs. Nowhere is the exponential growth of AI more apparent than in the race towards self-driving vehicles. There have been stark warnings about its impact on the jobs market as computer programs are honed to perform a number of roles, including call centre work, banking and paralegal responsibilities, retail and catering tasks, and journalism. Up to 46% of jobs in Scotland could be at risk within the next decade, the Institute for Public Policy Research Scotland recently claimed. Accountancy firm PwC predicted 30% of existing jobs in the UK could be "at high risk of automation" by the 2030s. Calum Chace, author of Surviving AI and the Economic Singularity, foresees "quite a lot" of unemployment caused by the takeover of technology "in a decade and a lot in two decades". "The industrial revolution was mechanisation and humans had something else to offer - cognitive skills.

Google has challenged China's top Go player to a series of games against its artificial intelligence technology. It said the software would play a best-of-three match against Ke Jie, among other games against humans in the eastern Chinese city of Wuzhen from 23-27 May. Last year, the Google program recorded a 4-1 victory against one of South Korea's top Go players. One expert said that result had come as a surprise. "A lot of AI researchers have been working on Go because it's the most challenging board game we have," said Calum Chace, author of Surviving AI. "The conventional wisdom was that machines would ultimately triumph but it would take 10 years or so. "The win was a big wake-up call for a lot of people, including many outside the AI community." Google's AlphaGo software was developed by British computer company DeepMind, which was bought by the US search firm in 2014. Its defeat of Lee Se-dol in March 2016 is seen as a landmark moment, similar to that of IBM's Deep Blue AI beating Garry Kasparov at chess in 1997. Several of the moves AlphaGo made defied conventional wisdom but ended up paying off. However, many Go aficionados did not recognise Mr Lee as the world's top player at the time of the contest. So, the new competition against 19-year-old Mr Ke - who is the current number one according to a popular but unofficial player-ranking system - has the potential to bring additional prestige to Google. "We've been hard at work improving AlphaGo to become even more creative, and since playing Lee Se-dol, the program has continued to learn through self-play training," a spokeswoman for DeepMind told the BBC. "We intend to publish more scientific papers in the future, which will include further details of AlphaGo's progress." Google added that Mr Lee would also be invited, but was not sure if he would attend. Over the past year, DeepMind's technology has also been used to find ways to reduce energy bills at Google's data centres as well as to try to improve care in British hospitals. A fresh wave of positive publicity could help Google find further uses for its tech. "If it loses this match, a lot of people will be delighted to claim that Google and DeepMind has overpromised and that this is the kind of hype we always get with AI," commented Mr Chace. "But I wouldn't have thought Google is taking a huge risk.

Lots of people want to judge machine intelligence based on human intelligence. It dates back to Turing who proposed his eponymous Turing test: can machines "pass" as human beings? If the man were to try and pretend to be the machine he would clearly make a very poor showing. He would be given away at once by slowness and inaccuracy in arithmetic. May not machines carry out some-thing which ought to be described as thinking but which is very different from what a man does?

The Economic Singularity: Artificial intelligence and the death of capitalism .. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money. This book mentions me by name 15 times, especially on my review of Martin Ford's Rise of the Robots, wherein I complain that Ford's main evidence for saying "this time is different" is all the impressive demos he's seen lately. This seems to be Chace's main evidence as well: Faster computers, the availability of large data sets, and the persistence of pioneering researchers have finally rendered [deep learning] effective this decade, leading to "all the impressive computing demos" referred to by Robin Hanson in chapter 3.3, along with some early applications. But the major applications are still waiting in the wings, poised to take the stage. It's time to answer the question: is it really different this time?

If you wanted relief from stories about tyre factories and steel plants closing, you could try relaxing with a new 300-page report from Bank of America Merrill Lynch which looks at the likely effects of a robot revolution. But you might not end up reassured. Though it promises robot carers for an ageing population, it also forecasts huge numbers of jobs being wiped out: up to 35% of all workers in the UK and 47% of those in the US, including white-collar jobs, seeing their livelihoods taken away by machines. Haven't we heard all this before, though? From the luddites of the 19th century to print unions protesting in the 1980s about computers, there have always been people fearful about the march of mechanisation.