Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

HR data and analytics drives profits but at what cost?





By Neil Patrick

HR analytics can punish your employees, but you won’t worry about that if you want to win.

In his 1976 book, 'Computer Power and Human Reason: From Judgment To Calculation', author Joseph Weizenbaum laid out the case that while artificial intelligence may be possible, we should never allow computers to make important decisions, because computers will always lack human qualities such as compassion and wisdom. Weizenbaum made a crucial distinction between deciding and choosing. Deciding is a computational activity, something that can ultimately be programmed. But it is the capacity to choose that ultimately makes us human. Choice, however, is the product of judgement, not calculation.

Stephen Hawking went even further when he said,  "...the development of full artificial intelligence could spell the end of the human race. Once humans develop artificial intelligence, it will take off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn't compete and would be superseded."

I cannot say if this distopian vision will or will not ever manifest. But it is plain to anyone that we are racing down this path with scarcely any care. We are already seeing the first applications of big data and AI based workforce decision and management systems. HR leaders like it because it promises to solve several of their most longstanding and vexing problems.

HR has been fed up forever about not being taken seriously. HR big data and analytics promises to be their saviour. It suggests that HR can transition from being perceived (wrongly in my view) as fluffy and utilitarian to having a proper seat at the leadership table, because like its rivals in finance, sales and marketing, it can now deploy hard ‘scientific’ data to back up its proposals.

It also promises a happier, more engaged workforce. One in which every twist and turn of employee sentiment can be quantified and responded to. If the data says people are feeling worse about something, HR can know this quickly and help rectify the problem.

I wish this were true. But I fear the opposite. That’s because every technological advance includes the option of being deployed for good or evil.

What HR may not like so much is that HR data delivers an extremely useful tool for business leaders to push and punish people. It’s a deal with the devil, in which HR’s quest for happy, engaged workers, risks being hi-jacked by the rest of the business to brutally force up productivity and drive down cost.

Incidentally, my argument skims over the very real practical questions around HR data and its inherent unreliability as Marcia LaReau has convincingly described here in her post, ‘To a Hammer, Everything is a Nail’.

Business has some critical problems today. Growth and profitability are chief amongst these. And countless studies show there is little correlation between hard profit and employee satisfaction. Sure there are plenty of examples of firms growing successfully who also invest in their people. But when we look at the most established large firms who are making the most money, most care much less about their people.

This is actually a very simple economic truth to understand. In an open competitive market, whoever gets the most work done for the lowest cost, wins. And if that means some people suffer, then so be it.

Every employee survey I have ever seen identifies that a person’s manager is the single greatest determinant of job satisfaction. It’s not pay, it’s not perks, it’s not flexible hours. It’s the person who manages you. If they are inspiring, caring, transparent, supportive, their staff will enjoy their work.

But here’s the problem. Managers that display these qualities are becoming an endangered species. Because their bosses usually don’t care very much about strategic HR. They do care about smashing their immediate revenue and profit targets. HR gets people hired for them, sorts out people issues and keeps them out of court. Everything else is fluff.

It’s that simple. Good leadership (not data) delivers happy and productive teams.

But we also know that good leadership is a frustratingly elusive and expensive resource to acquire and maintain. One accidental bad hire of a psychopathic manager and the whole of an organisation’s carefully nurtured culture can be demolished in a few months.

So if good leadership is expensive and scarce, but data is cheap and plentiful, the choice becomes a no-brainer.

What is becoming visible now is that there are firms who take HR data very seriously. And what we can also see is just how punishing and dehumanising the application of HR data can be in practice. To verify this, all we need to do is examine the firms where HR data is most developed and embedded in the day to day operations of the organisation.

And right now, probably the most advanced organisation in this field is Amazon. In January 2019, Amazon became the world’s third most valuable company by market capitalisation, after Apple and Microsoft.




Yet in some US states, nearly one in three Amazon workers are on food stamps. For Amazon, this is even better than paying people almost nothing. It is the transference of part of Amazon’s wage bill to the taxpayer.

In Amazon warehouses, every second of people’s work is measured and evaluated. They may walk over twenty miles on a day’s shift. Their productivity is tracked and ranked against their peers, with whoever is at the bottom of the table likely facing disciplinary actions and threats. A toilet break can cost you your job if it exceeds a tightly prescribed time allowance. Many describe it as a daily hell, which they endure only because they have few other options.

Welcome to the brave new world of HR big data. It’s being corrupted from the get-go. And if you’re an HR leader, be careful what you wish for.


AI in recruiting really means ‘abdicated intelligence’






By Neil Patrick

What is advocated and marketed as technology-enabled recruitment processes increases the difficulty in finding and retaining great people. The best people are made not found. We don't need to get better at ranking people by increasingly tightly defined data points, we need to take ownership of our responsibility (and self-interest) to find good people and make them great. 

Artificial intelligence is the big topic in almost every professional field right now. From drones in farming to robot surgeons, the overriding narrative is about the tasks which AI will enable us to perform better, faster and cheaper.

HR and recruitment are no different. The application of AI is spreading like wildfire as new tools are developed which expand the range of tasks that AI performs to assist recruitment management processes.

Until now, it was relatively simple to integrate the digital world with our own professional world. Have a LinkedIn profile which is properly constructed. Expand our professional networking onto one or two social media platforms. Write some commentaries or blog posts. By these means, anyone checking us out could easily discover our credentials.

Some people understandably chose not to participate or did so in the most cursory way possible. They had no wish to participate in the online race. They had fears about privacy. They didn’t understand how social media worked. They had better things to do with their time. All these were legitimate grounds to not participate. But not anymore because…


This is now all set to change

The next wave of AI and big data is going to transform the processes of hiring way beyond anything we’ve seen to date. Traditional recruitment is a gruelling, complex process for employers and recruiters alike. Recruitment teams have to be heavily incentivised to commit to the heavy workloads involved. And this costs money. A lot of money. But AI will streamline and speed up these processes. It will be able to identify suitable candidates in a few seconds. It will message the chosen few and chatbots will perform initial screenings. Candidate selection decisions will be made on the basis of data and scoring algorithms rather than fallible human interactions. Very little human intervention will be needed.

Recruitment costs will fall even more. Hiring efficiency and speed will increase. Hiring choices will be validated and justified by the ‘scientific’ methods involved.

At least that is the vision. The reality is more worrying.


Why it’s flawed

Data is not science. The principal predictors of job performance cannot be discovered by algorithms. The first attempts to automate the selection process created a bigger mess than before. Online job boards and applicant tracking systems (ATS) drove application numbers sky-high and candidate quality tumbled. But acquiring 500 applications cost around $50. Using a professional head hunter costs about $30-$40,000 per hire for professional vacancies. These economics ensured that automated recruitment processes took hold and continue to grow in usage.

Nick Corcodilos explains in this video why the application of data driven metrics to recruitment ensures that employers miss many of the best candidates for any given role:





I agree with everything Nick says here. This process is flawed. It cannot find the best people because the available data points cannot determine that they will perform well on the job. And because quite a few of the very best people choose not to present themselves online in their professional capacity. Yet for all its weaknesses, automated recruitment is only going to expand because the cost differential is so compelling.

In a strong and growing economy, organisations can invest in quality processes. In an economy which is uncertain and faltering, when profits and growth are elusive, focus inevitably shifts to cost reductions. Cost trumps quality in such times.


Your career is at risk if you choose not to participate

It seems logical to me that the current and anticipated applications of technology and artificial intelligence in recruiting will continue to erode the quality of hiring decisions made. This may deliver short term cost gains, but will push up long term costs as turnover rises and employee performance falls.

Yet this is not my greatest worry. My fear is that the relentless advance of this technology will create a new underclass of smart, educated and capable people who have chosen for legitimate reasons not to present themselves online. These people will become completely invisible to the data capture bots. And that invisibility will slowly but surely eat away at their employment opportunities.


There’s not a ‘talent shortage’, there’s a leadership vacuum

 
For organisations, the deployment of recruitment AI encourages organisations to abdicate their responsibility to create and nurture their own human talent pool. This creates a downward spiral of ever increasing data point discrimination reinforcing the mythology of what employers disingenuously call their ‘talent shortage’.

And if the belief in the pseudo-scientific reliability of these systems persists within management, we will see the abdication of leadership’s responsibility for taking good people and helping them become great. Instead, the tools will be adjusted to cure perceived shortcomings, when the real shortcomings are rooted in the mistaken faith in progress through technology.

Artificial intelligence is well named. Because it’s not real intelligence…

PS. My good friend Marcia LaReau at Forward Motion Careers has a great post here about what jobseekers can do to avoid becoming a victim of this situation. 

Fake news is not the problem. Artificial intelligence is.


By Neil Patrick


Today is a bad news day according to the news feed on my smartphone. Just like most other days then. It’s Tuesday 5th September 2017.

Like billions of other people, the news feed on my smartphone has been tailored for me by an algorithm. And my news has been written by junior hacks assembling computer generated information into ‘stories’. Doubtlessly they have been taught by their bosses that bad news and misery is the foundation of maximising readership.

These poor folk have no clue what they are writing about. They are simply painting by numbers.

I tweeted a while back in my #dearrobots series: ‘There’s a reason it’s called artificial intelligence – it’s not the same as real intelligence.’

Artificial intelligence is not just within the machines and IT that business deploys. It is penetrating the very brains of the people we need to trust for our news.

The algorithm which delivers my newsfeed has ‘learned’ what I like to read. Sort of. Because it has no ability to discern quality thought and content from junk.

And it helpfully put up the top three stories it thought would be of most interest to me.

So far so good.

The top three stories were:

Daily Telegraph: ‘Growth in UK services sector falls to 11-month low’

Reuters: ‘UK Car Sales are falling off a cliff’

Sky News: Lego sales drop: 1,400 jobs axed

Bingo! Yes these are all stories I want to know about.

But after this promising start, everything went downhill from there. Three news stories, yet every one was so ignorantly written that they not only told the wrong story, they would actually mislead 99% of readers into believing the wrong ‘facts’.

I am the last to criticise the integrity or quality of any of these three news sources, yet each one had provided me with what can only be described as fake news.

The first two ‘stories’ are not stories at all. They are simply the normal thing which happens every summer - people stop work for a couple of weeks and go on holiday.

This is why most business slumps in August

And if you work in a service business, it’s a very good idea to go on holiday in August, because unless you are a wedding photographer or ice cream vendor, chances are your clients have gone on holiday too and you might as well join them.

It’s nothing to do with Brexit, squeezed incomes, or business confidence. Yet according to the Telegraph writer, ‘This makes last month the weakest since September 2016’.

Wow. That’s almost exactly a full year…in fact the worst since the last time everyone went on their summer hols.

The Reuters writer has fallen into the same trap of not knowing about this mysterious thing called seasonality. In the UK, car sales have always bottomed out in July because new registration plates showing the vehicle registration year (half yearly since 2001) come out in August. They have done this since August 1962.

Of course new vehicle sales slump in July, because no-one in their right mind wants to buy a car which appears to be six months old when they drive it off the forecourt.

Yes the UK car retailing sector is headed for crisis as I have written about here. But sales have slumped in July every year forever for this simple and predictable reason.

This is not a story – it’s a clueless intern churning out words about a subject they care or know zilch about.

Which brings us onto the Lego story.

Everyone loves Lego, including me. So I was sorry to hear that they were in difficulty.

1,400 lay-offs is about 8% of their workforce.

Yet here’s the fascinating thing. Just six months ago, this appeared:

Lego is the world’s most powerful brand according to Forbes and Brand Finance:

https://www.forbes.com/sites/jeffkauflin/2017/02/14/the-most-powerful-brands-in-2017/#5b5375ef1f84

Viewed through this lens, this story is huge. The world’s most powerful brand is laying off almost 1 in 10 of its workers because of falling sales in the US and Europe.

When we look at Lego's profit history, the significance of this becomes even more stark:




Perversely, the magnitude of this story is diminished, whereas the non-stories about normal seasonal fluctuations in business stats are blown up to cause alarm to anyone who cannot assess the merit of what they are reading.

Yup fake news is everywhere. But it is AI and low grade journalism which is creating it not some evil masterminds intent on global domination.

The truth is much simpler and less sensational (as it usually is). Artificial intelligence has assumed command of the brains and fingers of the people who write our daily news.

Sure, robots don’t get drunk like old school journos. They don’t hack phones. And they don’t snoop into people’s private lives.

But they can’t write a reliable piece of news either.



Robots aren’t just stealing jobs; they are the creators of their own destruction.


By Neil Patrick




Asimov’s three laws of robotics are often cited in the debate about jobs and the threat of AI.

Isaac Asimov was a gifted and insightful science fiction writer. No more, no less. But his thoughts applied to today are about as helpful as reading Jane Austin is for tackling wealth inequality.

Asimov’s third law stated, ‘A robot may not injure a human being or, through inaction, allow a human being to come to harm.’ Most assumed this referred to physical harm. The reality is that that it is economic and social harm which we should be most worried about.

If you read this blog, you’ll know that I have been arguing for over 5 years here that the rise of the machines is unlike any previous technological change in the existence of mankind.

Its scope is so vast and the pace of change so rapid, that people, let alone institutions and government cannot keep up. And it is ordinary people who will pay the price for this.

It has been interesting to watch opinion about this shift. It started as a utopian view that the machines would free us all from the tedious and boring work; we’d all become valued for our creativity, our people skills, our innovation. Unless we didn’t have much of these things to start with…

When the raw economics revealed this was a Disney-like fantasy, then it was argued that this revolution would create a new world of work in which we’d all become freelancers, skipping merrily from assignment to assignment. The gig economy would be our liberator and digital communications would free us so we could all sit on a beach somewhere with a laptop earning our living. What happened instead was that the likes of Uber and zero-hours contracts created hideous exploitative machines of misery for millions.

Yet these were just the growing pains it was argued. Regulation and government interventions would act to calm the beast. Smooth out the inequalities and inequities. Like ensuring that Google and co. paid their fair share of tax…

I didn’t buy any of it. Yet I secretly feared that I was digging my own grave. Which would probably have a headstone including the words ‘reactionary, pessimist and Luddite’.

Then this week an article appeared in the Times by a young man named Raphael Hogarth .

Titled, ‘A life without work is not my idea of fun’, Raphael reports that the evidence from those who know most about these things such as AI entrepreneur Jeremy Howard, despair that “people aren’t scared enough”.

I agree. They are not even a little bit scared enough. This is indeed a monster unleashed. Just not quite the same one as Asimov envisaged.

The tidbits of crack cocaine attached to the monster such as online shopping, ITunes and MyFaceGram have blinded people to the reality that the monster will simultaneously pander to their desires while covertly devouring their ability to earn the money they need to live.

And in so doing, the machines will destroy their own revenue-based raison d’etre.

But to get back to Raphael’s article. What was most interesting to me was that he seemed to accept without much difficulty that his own future employment was under threat from AI. And that assuming the governments of the West manage to create a workable form of universal basic income (which I doubt), then he’d rather not have an idle life.

This is perceptive and admirable. It is also a watershed. It’s the first time I have seen in mainstream media, any commentator resigned to the reality of the AI monster.

And yet again, I find myself saddened by the fact that my own worst fears have come a step closer to being realised.



Shock as Mark Carney spills the beans (and agrees with me)


By Neil Patrick



Bank of England Governor Mark Carney
Photo credit: World Economic Forum 

What is front page news today in the UK? Well it’s that the Governor of the Bank of England agrees with me about the jobs crisis.

Mr. Mark Carney’s speech last night in Liverpool was the first time I have ever seen one of the world’s most senior central bankers endorse the very things I have been banging on about here for the last four years.

But I am not gloating. There can be no joy in the confirmation that one’s worst fears are indeed reality. What’s tragic is that this demonstrates just how long institutions take to acknowledge that a problem exists. Let alone do anything about it.

And the Bank of England is falling back on its get out of jail free card to pass responsibility for solving the problem to the government. After all, monetary policy is a blunt instrument, as central bankers are always swift to remind us.

Anyway for fun (if such a thing is possible) on hearing this not so new ‘news’, I have taken a look at his main points and compared them to things I have said here, and when I said them.

The Daily Mail’s front page headline today read:




On 15 Sept 2015, I wrote:

“The endless rise of tech is one of what I call the “six pillars of job destruction”. The others are globalization, demographics, monetary and fiscal policy, educational lag and digital communications… “

The front page story by Hugo Duncan in the Mail went on:

‘In an alarming vision for workers, Mark Carney warned many jobs would be 'hollowed out' as huge technological advances meant roles could be automated instead.

‘The Bank has said the march of the machines in the workplace puts administrative, clerical and production staff most under threat.

On December 1 2014, I wrote:

“Whilst the whole of a job may be currently impossible for a machine to replicate, parts of that job may well be perfectly capable of being replaced or aided by technology. This fact in turn means that fewer people are needed to deliver the same amount of work.”

‘The Bank of England predicts that entire professions, such as accountancy, could be pushed to the brink of extinction as developments in computers make their roles redundant.

On 27 July 2016, I wrote in reference to the endless rise of tech:

“In the US and Europe in particular, this is why the middle class is becoming an endangered species”.

‘Mr Carney claimed that 'up to 15million of the current jobs in Britain' – almost half of the 31.8million workforce – could be replaced by robots over the coming years as livelihoods were 'mercilessly destroyed' by the technological revolution.

And in July this year I said:

“The last remaining argument for tolerance of the jobs carnage created by the tech tsunami is that the Wikipedia version of history tells us technological progress is inevitable, and has only ever resulted in greater wealth and a better society. But this assertion doesn’t bear much scrutiny if you have even a basic knowledge of economic history.”

Mark Carney again: 'The fundamental challenge is, alongside its great benefits, every technological revolution mercilessly destroys jobs and livelihoods – and therefore identities – well before the new ones emerge.

I said in 2014: 

“The jobs created by tech are totally different to the ones destroyed by it. Which means those who lose their jobs as a result of technology are largely unable to switch.”

Carney: 'This was true of the eclipse of agriculture and cottage industry by the industrial revolution, the displacement of manufacturing by the service economy, and now the hollowing out of many of those middle-class services jobs.'

In October this year I wrote:

  “We have to understand how technology is going to impact our area of professionalism and get ahead of the change curve”

‘Speaking at Liverpool John Moores University yesterday, the Governor also claimed workers had suffered '…the first lost decade since the 1860s', with living standards suffering the biggest squeeze since Dickensian times. Calling for the Government to tackle 'staggering wealth inequalities' through redistribution, he said: 'Real wages are below where they were a decade ago – something that no one alive today has experienced before.'’

‘Globally, the share of wealth held by the richest 1 per cent rose from a third in 2000 to half by 2010. In the UK, the income share of the top 1 per cent tripled from 5 per cent in the early 1980s to 15 per cent in 2009.

In September 2014 I reported how: 

“quantitative easing policies have benefited mainly the wealthy. About 40% of those gains went to the richest 5% of British households...exacerbating already extreme income inequality and the consequent social tensions that arise from it”.

‘Mark Carney went on to say: ”…globalisation has seen 'the superstars and the lucky' thrive while others have struggled. ..Now may be the time of the famous or fortunate, but what of the frustrated and frightened?”

On 8 April 2015 I wrote: 

“…the globalization of workforces means that many jobs which used to stay firmly in the domestic market are now spreading around the world. And it’s not just a cheap labor argument. I recently had lunch with an entrepreneur friend who told me that almost his entire workforce was now composed of freelancers based the Philippines. Yes it was cheaper than a UK workforce (by about 75%), but critically this wasn’t his main reason for the choice. He was in the business of web content production and he had found that his overseas workers were more diligent, more proactive and had better written English than the people he used to employ in the UK.”

And in January this year I wrote that:

“There will be many more super rich in the world, but also a great many more who used to be comfortable, becoming very uncomfortable.”

Carney again: “One of the things that I think contributes very understandably to the level of anxiety that households feel in this economy, in other economies, is the fact that it has for them been almost a lost decade of growth.”

On 15 November 2015 I said:

 “…persistent slow growth will continue to dampen employment prospects…real wages have stagnated across many advanced G-20 nations and even fallen in some.”

Carney: 'Real incomes in this country have not grown for the last ten years. That is incredible and that shines a light on inequalities that exist in this economy and make people question what is being done to address those and what are the fundamental causes of those.'

He added: 'For free trade to benefit all requires some redistribution. We need to move towards more inclusive growth where everyone has a stake in globalisation.'

For the first and I hope not the last time, I applaud Mark Carney for not mincing his words and spelling things out to the government. Even if he is a bit late in diagnosing the problems.

We need change and we need it fast.

The destruction and degradation of jobs is something I’ve been documenting here since 2012. Now four years later, we have an acknowledgement of the problem from someone who has the influence to do something about it. But we cannot wait another four years for practical solutions to begin to be implemented.

The machines aren’t going to wait and neither can we.




Career survival in the fourth industrial revolution



By Neil Patrick

As I wrote about in my post here, the main theme of the 2016 World Economic Forum (WEF) at Davos was the Fourth Industrial Revolution (FIR). And most normal people completely ignored it (that's both the Forum and my post about it!). But this particular topic has profound implications for anyone who wants to earn a living in the next 20 years or so.

Change has always been around us, what's different is the speed 

These things are going change everyone's experience of work - what we have seen so far is just the start of changes so profound that almost no-one has figured out yet how individuals need to respond. Not being one to shy away from a challenge, I am going to attempt to describe what this means and what I think everyone needs to do about it.

Most people are not even aware of the third industrial revolution (this was when computers and the internet combined to create a new digitally connected world), let alone the fourth. The defining characteristics of the fourth industrial revolution are extreme connectivity, rapid change and the increasing automation of work.

VUCA (Volatility, uncertainty, complexity and ambiguity) describes the conditions which will dominate the world in the coming decades. A VUCA world is a place in which some will thrive, but many will wither because they simply do not know how to respond to it.



Davos: where the 'great' and the 'good' ponder our futures.

Education alone will not be sufficient to equip us to cope

Despite my somewhat bearish view of what this all means for the future of jobs, there are things we can all do to reduce our risk exposure. We cannot change the world we live in, but we can change how we respond to it.

I am not yet convinced that the key agents of change (business leaders, educational institutions and government, public and legal bodies) have the motivation, insight and sense of ownership to create the conditions for economic success for citizens in the FIR. They have to become visionary, agile and deeply committed to responding rapidly and effectively to this challenge. I see very little evidence that much of this is happening.

Education is a key pillar to enable the necessary changes in our societies for the digital age. As Vishal Sikka, CEO of Infosys says:

“Today’s classrooms often operate in the same way they did when farmers composed the majority of our societies; when memorization was rewarded more than curiosity and experimentation; when getting something right outweighed learning through failure. We must transition away from our past; shift the focus from learning what we already know to an education focused on exploring what hasn’t happened yet. This system would resemble an ecology – constant, small adjustments made by independent actors inside of a cohesive whole.”

Educational attainments are no longer something we strive for only when we are young. It has to be a lifelong commitment. It is not learning that is redundant, it is how and what we learn as individuals and societies that must change.

But if education is geared to the needs of the past, not the future, it cannot deliver the sort of learning we all need. Just the other day, I was asked by a friend about the wisdom of a decision his sister was making to career shift to being an interior designer. Her plan was to spend the next 3 years and many 000's of dollars studying this at college. I thought she was crazy. Much better to just start doing it - educational qualifications are not the barrier to success in this sort of field. Winning clients and generating profits is. It seemed to me this was a plan for self indulgence, not a successful career shift.


Traditional jobs are going to become much more scarce

In essence this is the problem; if AI and robots do more and more of the work that people used to do, just how much confidence should we place in the ability and commitment of government and businesses to create the 600 million new jobs that the World Bank forecasts we will need by 2030 just to keep pace with population growth?

If you want some stats, the WEF estimates that the following job losses will occur by 2020 i.e. the next four years:

4,759,000 clerical and administrative jobs

1,609,000 manufacturing jobs

497,000 construction and mining jobs

151,000 sports and creative industry jobs

109,000 lawyers

40,000 maintenance and mechanics

So taking just clerical, admin and manufacturing jobs into account, these two categories alone are forecast to lose over 6.3 million jobs in the next 4 years.

The simple maths of the World Bank’s goal of 600 million new jobs is that we need an average of 40 million new jobs being created globally every year between now and 2030. And this requires a massive growth in work for people to do and be paid for. There is just no way that current or projected economic growth will deliver this currently.

All careers need one of these...


Who will win and who will lose?

These changes will create winners, but many more losers. In general, the winners will be those with the most in demand competencies in the FIR which are expected to be flexibility, creativity and tech skills; those without these will be the biggest losers. And if you think the growth of wealth inequality is a problem today, you’ve seen nothing yet…

As Klaus Schwab, Founder and Executive Chairman, World Economic Forum says in his insightful commentary here:

“In addition to being a key economic concern, inequality represents the greatest societal concern associated with the Fourth Industrial Revolution. The largest beneficiaries of innovation tend to be the providers of intellectual and physical capital—the innovators, shareholders, and investors—which explains the rising gap in wealth between those dependent on capital versus labor. Technology is therefore one of the main reasons why incomes have stagnated, or even decreased, for a majority of the population in high-income countries: the demand for highly skilled workers has increased while the demand for workers with less education and lower skills has decreased. The result is a job market with a strong demand at the high and low ends, but a hollowing out of the middle.

This helps explain why so many workers are disillusioned and fearful that their own real incomes and those of their children will continue to stagnate. It also helps explain why middle classes around the world are increasingly experiencing a pervasive sense of dissatisfaction and unfairness. A winner-takes-all economy that offers only limited access to the middle class is a recipe for democratic malaise and dereliction.”

So this is the problem. Our economies are still functioning (sort of) using 20th century models and policies. But traditional monetary and fiscal levers have all failed to reignite the growth that is required for this model to function. Politicians have run out of answers despite their protestations that this or that policy will solve the problem. It won’t.

So when the state fails to deliver for us and shows no promise of doing so, the thing we have to do is take care of ourselves.

In my next post, I’ll describe what I think these things need to be. Just follow this link.


Stephen Hawking on the threats of artificial intelligence


It was an odd co-incidence that yesterday I posted a piece sub-titled “Is your job at risk of being taken by a machine? A few hours later Professor Stephen Hawking was featured on the main BBC evening news with an even more gloomy prediction that artificial intelligence could be the greatest threat to the very existence of mankind.

Hawking, one of Britain's pre-eminent scientists, went much, much further than I was brave enough to do. He said that efforts to create thinking machines pose a threat to our very existence. He told the BBC: "The development of full artificial intelligence could spell the end of the human race."

Hawking is a theoretical physicist, who has the motor neurone disease amyotrophic lateral sclerosis (ALS) and is currently using a new AI assisted speech system. His warning came in response to a question about an upgrade of the technology he uses which was developed by Intel.

Machine learning experts at the British company Swiftkey were also involved in its creation. Their technology, already employed as a smartphone keyboard app, learns how he thinks and suggests the words he might want to use next. ("God help us" seems like it might be useful).

Hawking believes the basic forms of artificial intelligence developed so far have proved very useful, but he fears the consequences of creating something that can match or surpass humans.

"It would take off on its own, and re-design itself at an ever increasing rate," he said.



Professor Stephen Hawking


Ever mindful of its commitment to balanced reporting, the BBC was quick to find an expert commentator with an opposing view. Rollo Carpenter, creator of Cleverbot added to the debate saying,  "I believe we will remain in charge of the technology for a decently long time and the potential of it to solve many of the world problems will be realised." 

Cleverbot is software that is designed to chat like a human would. Its  software learns from its past conversations. In tests, it fooled a high proportion of people into believing they were talking to a real person.

Carpenter asserted that we are still a long way from having the computing power or the algorithms needed to achieve full artificial intelligence. But even he believes it will come in the next few decades.

"We cannot quite know what will happen if a machine exceeds our own intelligence, so we can't know if we'll be infinitely helped by it, or ignored by it and sidelined, or conceivably destroyed by it," he said.

I need to be braver in my position I think. And my opinion inclines more to Hawking for the simple reason that he has absolutely no vested interest in allaying concerns about the threats of technology.

I don't fear being physically killed by an out of control robot. I do fear that our whole economic system and the jobs within it will be killed if we don't do something.

I don't need to contemplate the distant future. Even today's 'basic' AI and technology is destroying jobs right now every day. Hawkings and Rollo are both contemplating the future decades ahead.

But that’s academic. The distant future isn’t the issue. Today is.


Is artificial intelligence the greatest threat to human existence?


By Neil Patrick


Here’s a clip from the Rubin Report in which Elon Musk states “AI is like summoning the demon”.

Interesting coming from someone who more than most people is at the forefront of understanding and developing high tech future businesses.

Does he know something we don’t?





The ensuing discussion in the clip seems to miss the point. Rubin’s mates have been watching too many dystopian movies and playing too many computer games in which robots go on killing sprees I suspect.



I wonder if the real reason Elon Musk is so cautionary about AI isn’t because we’re at risk of being slaughtered by evil robots, but because he can see that technological development is now outstripping the abilities of our current political, economic and social systems to keep up.

And that this situation means we have 21st century technology but 20th century political, education, economic, social and legal systems.

The outcome of this two speed society is that jobs will disappear faster than ever…and no jobs equals no money. And in our world, no money is effectively extinction…?

Is this what he’s really hinting at?