Trends Identified
An ageing population will add further pressure to future labour market challenges
As a result of rising life expectancy and declining birth rates, global population growth has considerably decelerated and this trajectory is expected to continue over the next few decades. One immediate implication of this slowdown is that growth of the global labour force will not be sufficient to compensate for the rapidly expanding pool of retirees, putting pressure on both the pension system and the labour market as a whole. In developed countries, where population ageing is considerably faster, it is estimated that, by 2030, there will be close to five persons aged 65 and over for every ten persons in the labour force, up from 3.5 in 2017.
2018
World Employment and Social Outlook
International Labour Organization (ILO)
Spin transistor
As a new type of electronic engineering technology, it uses both electron charge characteristics and quantum-mechanical spin physical development at the same time. The spin transistor has the property of non-volatility (unique property of spin), high-speed and ultra-low power. This next-generation electron device can overcome the technical limitations of the current electron devices, and can be widely applied to high-density large-capacity information processing and storage.
2012
KISTEP 10 Emerging Technologies 2012
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Gender equality: a pervading driver of change?
As a cross-cutting driver, gender is affecting several income groups and societies, particularly insofar as inequality is concerned. While each could be seen as an outcome of other societal developments (eg economic growth, value changes), there are several developments that could be seen as driving closure of the gender gap, for example, women’s growing involvement in politics, increasing educational attainment and labour market participation. Attitudes towards gender equality itself are likely to affect several policy areas in the future, owing to their relation with a variety of unpredictable factors such as fertility levels, migration flows and individual empowerment. For example, according to the EUISS, gender equality is one of the main drivers behind individual empowerment and the emergence of the global middle class, through the near-universal access to education and the empowering effects of ICT (EUISS, 2012).
2013
Europe's Societal Challenges: An analysis of global societal trends to 2030 and their impact on the EU
RAND Corporation
Cognitive analytics - Wow me with blinding insights, HAL
Artificial intelligence, machine learning, and natural language processing have moved from experimental concepts to potential business disruptors— harnessing Internet speed, cloud scale, and adaptive mastery of business processes to drive insights that aid real-time decision making. For organizations that want to improve their ability to sense and respond, cognitive analytics can be a powerful way to bridge the gap between the intent of big data and the reality of practical decision making.
2014
Tech trends 2014 - Inspiring Disruption
Deloitte
Machine intelligence - Technology mimics human cognition to create value
Artificial intelligence´s rapid evolution has given rise to myriad distinct— yet often misunderstood—AI capabilities such as machine learning, deep learning, cognitive analytics, robotics process automation (RPA), and bots, among others. Collectively, these and other tools constitute machine intelligence: algorithmic capabilities that can augment employee performance, automate increasingly complex workloads, and develop “cognitive agents” that simulate both human thinking and engagement. Machine intelligence represents the next chapter in the advanced analytics journey.
2017
Tech trends 2017 - the kinetic enterprise
Deloitte
Ai in supply chains
Artificial intelligence will help significantly improve the efficiencies of supply chains, reducing waste both in the logistics chain itself, as well as in the nature of goods and services transported. Estimates suggest AI can help increase supply chain efficiencies by around 20-30%, 7 with commensurate effects in particular on the freight, air cargo, and shipping cargo sector.
2018
The bigger picture- The impact of automation, AI, shared economy on oil demand
The 2° Investing Initiative
Reviewing the legality of weapons, means and methods of warfare with autonomous capabilities
Artificial intelligence and robotics have made great strides in the past three decades. One major outcome of innovation in these fields has been the remarkable progress of autonomy in weapon systems and the networks in which they are embedded. The advance of autonomy is a notable technological development in the sense that it fundamentally changes the way the military can field forces and make decisions, lethal or otherwise, on the battlefield. This chapter explores the implications of this development for the conduct of Article 36 reviews.
2017
Article 36 reviews
Stockholm International Peace Research Institute (SIPRI)
Fewer, but more productive, workers
Artificial intelligence (AI), sensors, data analytics and robots will drive significant change in many workplaces in Canada and around the world.
These technologies will transform many jobs where a routine physical or mental task is repeated;
AI will increasingly handle the routine, while workers will be free to focus on the exceptions that AI cannot handle. AI and data analytics will also increase productivity and the demand for non-routine and professional skills by reframing the way we design, coordinate, manage, deliver and assess products and services. Sensors will provide workers with a much broader picture of the processes they manage, improving efficiency and client satisfaction. Cheaper, mass-produced robots and autonomous delivery vehicles will change the flow, timing and flexibility of work. Working conditions and on-the-job safety will greatly improve for dangerous professions, largely through the use of sensors, drones and robots in fields such as mining, policing and rescue missions.
2013
Metascan 3 emerging technologies
Canada, Policy Horizons Canada
Artificial intelligence
Artificial intelligence (AI) seeks to endow machines with reasoning capabilities that may one day surpass those of human beings. While their full impact remains difficult to appraise, intelligent systems are likely to bring considerable productivity gains and lead to irreversible changes in our societies.
2016
OECD Science, Technology and Innovation Outlook 2016
OECD
Emergent artificial intelligence
Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy. Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future. Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients. Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.
2015
Top 10 emerging technologies of 2015
World Economic Forum (WEF)