Dear All,
As I stated before, I would like you to engage in Socratic debate about the AI and future of work. After reading the following article from the Economist, please share your views on the issue based on the guiding questions below:

Let us know what are the points of view you agree from the article? why?
Let us know what are the points of view you DISagree from the article? why?
How do you think the AI revolution is going to affect the Kingdom in the next decade? what are jobs which are more likely to be affected?
What is your recommendation for the business and government in the Kingdom to be ready for the AI revolution?
what is your prediction of how we will work in the decades to come and how artificial intelligence (AI) will transform our daily lives?
If robots were going to most of the works we currently do and we were going to be provided certain income to sustain our life without working, would that be good or bad for us? Why? (think about 3D printing technology which allows producing whatever your need)


Will the rise of artificial intelligence make you more or less likely to find your dream job?
Predictions of how we will work in the decades to come and how artificial intelligence (AI) will transform our daily lives have been notoriously imprecise ever since AI research began in the 1950s.
But as developments have gathered pace and slowly been applied in the workplace, the huge impact that AI is sure to have has become clearer – even if its exact social and legal implications are only gradually making themselves known.
The acceleration of AI research in recent years can be traced directly to the enormous resources of the computer giants leading the race, the dynamism and inventiveness of the startups they consume, and the size of the prize at the end of the AI rainbow.
Venture capitalist database CB Insights shows that tech giants such as Google, Intel, Apple and IBM have made almost 140 acquisitions in the area since 2011.

Increasingly, robots are being used for work as well as play.
One of the most striking was Google’s 2014 purchase of Deep Mind, the British artificial intelligence company behind AlphaGo, a computer capable of playing the ancient Chinese board game Go that mimics the way the human brain functions.
Could such a machine also learn to do our jobs? Where do we now stand on the timeline of AI and how far it will impact on humankind?
Jeff Bezos, CEO of Amazon, one of the first companies to effectively deploy robots alongside humans in its warehouses, has talked at length about the world being on the cusp of a golden age of AI. Will this also mean the dawn of a new age of leisure for humans? This year Finland will become the first European country to trial the introduction of an unconditional income, giving 2,000 unemployed people a universal basic wage in anticipation of a future when machines do most of the legwork.
Internet pioneer and Google Vice President Vint Cerf believes a balance will need to be struck that will see humans enhanced, rather than replaced by AI, at least in the short term. As Google scientists go on developing their robots’ algorithms, the world will also need to be learning about AI.

Google Vice President Vint Cerf.
“On the whole, robots and intelligent software seem destined to be used in cooperative and collaborative ways with humans,” says Mr Cerf. “Augmenting human capacity with machine intelligence seems to be the most fruitful way forward in the near term. Ingestion and analysis of large quantities of information and pattern recognition are all ways in which robotic systems and software can be used to assist human endeavour.”

“Robots and intelligent software seem destined to be used in cooperative and collaborative ways with humans”– Vint Cerf, vice president, Google
Assisting is one thing, but numerous applications are being developed to enable machines to learn to do the jobs of humans. A 2014 joint study between Oxford University and Deloitte revealed that around 35% of jobs in the UK are at “high risk” of computation over the next 20 years, particularly in the retail, transport and storage sectors. Research by the same university a year earlier put that figure at 47% for the US.
“The search for affordable and useful robotics continues,” says Mr Cerf. “Among the more interesting experiments is using machine learning to train a robot and to transfer that training to an unlimited number of copies of the robot. Just as the successful AlphaGo program was trained in part by playing against itself, it seems possible that mechanical robots can learn from each other in cooperative training exercises.”
A 2016 Deloitte report found that 2.1 million jobs had a high chance of succumbing to automation in the UK wholesale and retail industry (59% of the total sector workforce). This was followed by transport and storage (1.5 million jobs) and human health and social work (1.3 million). Professional, scientific and technical roles were also at high risk, but the impact would be offset by the creation of some 650,000 jobs in the field as a direct result of the move to automation.
If computers could be used in hospitals to monitor patients more effectively, rather than reduce the number of nurses, it could free up staff to spend more valuable time with patients assessing their individual needs. Social and cognitive skills would become more highly valued in order to make the essential judgement calls that would still be necessary in a more automated and sanitised workplace.

Amazon was one of the first companies to deploy robots alongside humans in its warehouses.
It is this brighter hope of job creation outstripping loss that AI disciples and those emerging from higher education must cling to. While, for instance, the prospect of machines ‘learning’ and sharing thousands of pages of legal documents could disrupt the world of law as it stands, the flip-side would be the vast amount of expertise required in the areas of legal responsibility and patents to oversee the implementation of AI in the workplace. If you have an accident in a self-driving car, who would be responsible – the user, system developer, or the manufacturer? Robots will force us all to change the way we live, not just how most of us work.
But Professor Bart Verheij, vice-president of the International Association for Artificial Intelligence and Law, says it will first be necessary to develop ethical systems before machines can start telling us what is right and what isn’t – “systems with norms and values embedded in them and an understanding of our complex world that allows for sensible deliberation about doing the right thing.

“Only once new bridges between knowledge and data technology are well understood will the job market change beyond recognition”– Professor Bart Verheij, vice-president of the International Association for Artificial Intelligence and Law

“For now, I do not fear for the jobs of lawyers. First, we need a revolution in AI: bridging knowledge and data technology. Only once such bridges are well understood from a technological perspective will the job market of lawyers and other people with high education levels change beyond recognition.”
The revolution is coming, but it will not happen overnight. Deloitte’s research shows advances will naturally gravitate towards relevant sectors, starting with the more predictable and repetitive tasks and allowing room for society to adapt. The amount of social and political change that results – such as whether governments might be forced to pay us a basic income to do nothing – depends precisely on the speed of that introduction, and just how much humankind is prepared to let robots do the work.
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