How do you organise a society in which few people do anything economically productive?
How do you organise a society in which few people do anything economically productive?
Artificial intelligence is becoming good at many “human” jobs—diagnosing disease, translating languages, providing customer service—and it’s improving fast. This is raising reasonable fears that AI will ultimately replace human workers throughout the economy. But that’s not the inevitable, or even most likely, outcome. Never before have digital tools been so responsive to us, nor we to our tools. While AI will radically alter how work gets done and who does it, the technology’s larger impact will be in complementing and augmenting human capabilities, not replacing them.
This article summarizes the key policies and goals of each strategy, as well as related policies and initiatives that have announced since the release of the initial strategies. It also includes countries that have announced their intention to develop a strategy or have related AI policies in place.
Artificial intelligence (AI) and automation will displace millions of workers in coming years but simultaneously create many new jobs that displaced workers will need to be trained to fill. By 2030, 400 million to 800 million workers worldwide, including 73 million in the United States, will be forced out of their current jobs by AI and robotics. The biggest challenge for HR in the next decade will be to provide training for existing workers so they can remain employable and to help businesses as they undergo transition.
Future world skills 2020
This report analyzes key drivers that will reshape the landscape of work and identifies key work skills needed in the next 10 years.
Japan. A response in Japan to low birthrates and labor shortage: humanoid robots
Government projections estimate that over the next two decades, Japan will lose nearly a million people per year. There are less and less potential workers, and youths don’t want to work in factories anymore.
Can universities and colleges keep up with the skills demanded by the ‘new manufacturing’?
Game-changing advancements in robotics, 3D printing, data analysis, vision systems, sensors and the Internet of Things are creating seismic changes in manufacturing systems and processes. But where does the human resources factor fit into this transition?
Do We Have to Be Afraid of the Future World of Work?
The paper tries to highlight major trends shaping the world of work in developed economies with the aim of giving a realistic account of probable developments and the contributions of different driving forces, importantly focusing on the role of actors such as policy makers, firms and individuals.
PAPERS and ARTICLES
Preparing for the robots: Which skills for 21st century jobs?
The robots are coming and are taking our jobs. Or are they?
New technologies: A jobless future or golden age of job creation?
This paper explains the dynamics of job destruction and job creation in the context of technological change. It explores the role of economic, social and political forces in shaping the nexus new technologies, innovation and job.
The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution
The Fourth Industrial Revolution is interacting with other socio-economic and demographic factors to create a perfect storm of business model change in all industries, resulting in major disruptions to labour markets.
PAPERS, ARTICLES, BRIEFING NOTES
People, machines, robots and skills
Technological unemployment is a recurring theme, but joblessness in the digital age will depend on human, not artificial, intelligence.
Automation will disrupt the future of work — but also the future of global development
Although automation will take longer to reach developing countries, the nature of work is already changing in these markets.
Accelerating Gender Parity in the Fourth Industrial Revolution
This paper explores the challenges and opportunities for enhancing gender parity in sectors likely to exhibit high growth in the context of the Fourth Industrial Revolution, and identifies key acceleration strategies by sector.
From craftsmanship and novices to 3D printing and an ageing workforce: is vocational education and training (VET) research keeping pace with change as well as continuity in work?
Changes in work technologies, the way work is organized, and the nature, distribution and utilization of occupational skills and knowledge have always had an impact on VET practice and policy.
Australia. Preparing young people for the future of work
Australia’s education system is not preparing students for twenty-first century success. Young people entering technology-rich, global, competitive job markets need different skill sets to what our education system has traditionally valued.
Canada. The Intelligence Revolution: Future-proofing Canada’s workforce
Over the next decade, the future of work will be driven not by incremental automation in manufacturing processes but by exponential change based on machine learning, virtually free data storage and communication, and ever-increasing computational power that rivals some human capabilities.
Harnessing automation for a future that works
Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. The report finds realizing automation’s full potential requires people and technology to work hand in hand.
The future of work in the automotive sector: The challenges of deglobalization
This report on the future of work in the automotive sector focuses on the major changes facing the sector.
Canada. Future-proof: Preparing young Canadians for the future of work
With a large number of jobs at risk of automation in the near future, including those held by some of the most vulnerable segments of Canada’s population, youth are facing higher skill and experience requirements than ever before.
Le sondage montre que 61 % des Québécois considèrent que l’intelligence artificielle (IA) transformera les tâches des travailleurs, et 53 % croient qu’elle occasionnera de nombreuses pertes d’emploi. Toutefois, la grande majorité des répondants ne nourrit pas cette appréhension face à leur situation personnelle: ils ne sont que 17 % à penser que l’IA pourrait leur faire perdre leur emploi et 26 % qu’elle affectera leurs tâches au travail.
Publication. Perception des Québécois sur l’intelligence artificielle selon le Baromètre CIRANO 2018
Staying ahead in the accelerating artificial-intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.
An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.
This paper discusses the European Parliament’s Resolution of 16 February 2017 with recommendations to the Commission on Civil Law Rules on Robotics (European Parliament 2017). It provides a brief summary of the content of the Resolution and looks at its basic principles and raison d’être.
En français. Union européenne. Une législation européenne sur la robotique et l’intelligence artificielle ?
Of all the great economic anxieties, there’s something particularly disquieting about the potential of artificial intelligence and other forms of technology replacing human labor. Some estimates indicate that as many as 47 percent of current jobs could be replaced by technology.
Will advances in technology lead to widespread unemployment? While there is significant disagreement about whether technology would decrease levels of employment in the United States, there is substantial consensus about the types of tasks that may be at risk of being replaced by automated technologies.
As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits.
A new survey finds that although some Americans believe artificial intelligence will make their lives easier, many are concerned about its potential consequences on jobs, privacy, and international competition.
Machine learning is currently advancing at a rapid rate. The transition to the machine intelligence era is likely to have profound consequences for human society. We will also discuss some issues that arise when considering the possibility of machine superintelligence.
En français. La révolution de l’intelligence artificielle en marche
How will Artificial Intelligence (AI) impact industries and economies? How can governments and companies prepare for the 4th Industrial Revolution?
One of the country’s biggest hospitals has unveiled sweeping plans to use artificial intelligence to carry out tasks traditionally performed by doctors and nurses, from diagnosing cancer on CT scans to deciding which A&E patients are seen first.
Some commentators fear that we are in the midst of a Fourth Industrial Revolution where artificial intelligence, autonomous vehicles, and robots are replacing workers at staggering rates. This presentation explains this could not be farther from the truth. Instead of fretting about tech killing jobs, we should be worrying about how to boost record-low productivity growth—the only sustainable way to increase living standards (Duration 1:29:47).
According to the report Skills for an Automated Future, automation, artificial intelligence and advanced robotics have the potential to either take over jobs or be the key to increased productivity and competitiveness.
En français. Canada. Compétences pour un avenir automatisé
The Fourth Industrial Revolution is now. And, whether you know it or not, it will affect you. Billions of people and countless machines are connected to each other. Through groundbreaking technology, unprecedented processing power and speed, and massive storage capacity, data is being collected and harnessed like never before. Automation, machine learning, mobile computing and artificial intelligence — these are no longer futuristic concepts, they are our reality.
The report discusses AI’s application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.
History tells us that in the long run, technology is a net creator of jobs. Is this time different?
In Canada, which pioneered many foundational advances in deep learning research and possesses a rich AI talent base, the question confronting businesses is whether they can reap AI benefits commensurate with the nation’s historic academic leadership. Right now, big players such as Google, Facebook, and Microsoft are coming to Canada to leverage its deep talent pool. But will Canada’s pioneering AI history translate into accelerated technology advances in its own businesses?
In an era marked by rapid advances in automation and artificial intelligence, new research assesses the jobs lost and jobs gained under different scenarios through 2030.
Robotics and machine learning have improved productivity and enhanced the economies of many nations. Artificial intelligence (AI) has advanced into finance, transportation, defense, and energy management. The internet of things (IoT) is facilitated by high-speed networks and remote sensors to connect people and businesses. In all of this, there is a possibility of a new era that could improve the lives of many people.
Yet amid these possible benefits, there is widespread fear that robots and AI will take jobs and throw millions of people into poverty.
The modern world has been shaped by the technological revolutions of the past, like the Industrial Revolution and the Information Revolution. Artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce.