If Adam Dorr is correct, robots and artificial intelligence will dominate the global economy within a generation and put virtually the entire human race out of a job. The social scientist doubles up as a futurist and has a stark vision of the scale, speed and unstoppability of a technological transformation that he says will replace virtually all human labour within 20 years. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. Dorr heads a team of researchers who have studied patterns of technological change over millennia and concluded that the current wave will not just convulse but obliterate the labour market by 2045.

Between Christmas and New Year's, my family took a six-hour drive to Vermont. I drove; my wife and two children sat in the back seat. Our children are five and two--too old to be hypnotized by a rattle or a fidget spinner, too young to entertain themselves--so a six-hour drive amounted to an hour of napping, an hour of free association and sing-alongs, and four hours of desperation. We offered the kids an episode of their favorite storytelling podcast, but they weren't in the mood for something prerecorded. They wanted us to invent a new story, on the spot, tailored to their interests.

This is the text about AI Art you probably don't want to read, but need to. I will not mince words, this will be grim if you are anxious about AI, but bear with me. I'm writing this mostly out of concern for my friends, followers and industry peers, but if you randomly stumbled upon it, feel free to keep reading. In Future 1 AI will continue improving and transform commercial visual arts into a vastly different domain. Digital illustration as we know it today will become like caligraphy, an old craft with no economic viability at a large scale.

Today's industry is experiencing an extraordinary moment, in terms of evolution and efficiency of opportunities and potential for transformation enabled by the advent of new technologies that are now gathered under the umbrella of the so-called Industry 4.0. This term, which represents the advent of a new Industrial Revolution, the fourth, encompasses a set of innovation and technological developments, all potentially competing in transforming today's industrial processes from the very root, making them totally different from those of the past. However, if taken as stand-alone, these new techniques or developments may seem like only promising "add-ons" to today's factory, already highly automated/digitized and intelligent in its own way. All enabled by advanced connectivity, simulation tools, Edge and Cloud computing to support computation, IoT, automation and advanced robotics and new, more sustainable and efficient energy supply sources. But what represents the real keystone of the "4.0 Factory", however, is the very high degree of interconnection between all these technologies, both with each other and with all the different sub-processes and systems in the same chain of production, from logistics to production, from design to order management and quality check.

This short course will explore how Artificial Intelligence (AI) will impact a workplace from an L&D and HR perspective. You will learn the gap in skillsets that are required for the future workforce. We will explore the benefits and pitfalls of AI and what organisations need to do. You will learn the basics of Artificial Intelligence and how L&D is the main driver for this transformational change and the importance of AI Ethics Codes of Practice. Covering some of the key topics that you can easily implement when your organisation goes through a technological transformation.

Are robots coming for your job? New York Times tech columnist Kevin Roose says companies and governments are increasingly using automation and artificial intelligence to cut costs, transform workplaces and eliminate jobs -- and more changes are coming. "We need to prepare for the possibility that a lot of people are going to fall through the cracks of this technological transformation," Roose says. "It's happened during every technological transformation we've ever had, and it's going to happen this time. And in fact, it already is happening."

This short course will explore how Artificial Intelligence (AI) will impact a workplace from an L&D and HR perspective. You will learn the gap in skillsets that are required for the future workforce. We will explore the benefits and pitfalls of AI and what organisations need to do. You will learn the basics of Artificial Intelligence and how L&D is the main driver for this transformational change and the importance of AI Ethics Codes of Practice. Covering some of the key topics that you can easily implement when your organisation goes through a technological transformation.

What's important is that you have a faith in people, that they're basically good and smart, and if you give them tools, they'll do wonderful things with them. In the nearly 20 years since I started medical school, I've seen the practice of medicine undergo a wholesale technological transformation. Take medical records as a simple example. I am 100% certain that today's medical students are much slower walkers than me. Because the days of sprinting on rounds to get ahead of the white coat phalanx, pull down a cabinet and open a three-ring binder chart to the next blank page before the intern reaches the door ended a decade ago.

The agreement establishing Intel as BBVA's priority partner is part of a series of strategic, global alliances that the Group is formalizing with tech leaders. The goal is to become a more flexible and scalable bank, capable of offering its clients the best data-driven digital services. Automatic learning is a prerequisite for intelligent systems. It enables data-driven predictions and creates new business opportunities. Banking in general, and BBVA in particular, is already taking advantage of this technology in order to improve products and services for its customers.

Recently the concept of transformative AI (TAI) has begun to receive attention in the AI policy space. TAI is often framed as an alternative formulation to notions of strong AI (e.g. artificial general intelligence or superintelligence) and reflects increasing consensus that advanced AI which does not fit these definitions may nonetheless have extreme and long-lasting impacts on society. However, the term TAI is poorly defined and often used ambiguously. Some use the notion of TAI to describe levels of societal transformation associated with previous 'general purpose technologies' (GPTs) such as electricity or the internal combustion engine. Others use the term to refer to more drastic levels of transformation comparable to the agricultural or industrial revolutions. The notion has also been used much more loosely, with some implying that current AI systems are already having a transformative impact on society. This paper unpacks and analyses the notion of TAI, proposing a distinction between TAI and radically transformative AI (RTAI), roughly corresponding to societal change on the level of the agricultural or industrial revolutions. We describe some relevant dimensions associated with each and discuss what kinds of advances in capabilities they might require. We further consider the relationship between TAI and RTAI and whether we should necessarily expect a period of TAI to precede the emergence of RTAI. This analysis is important as it can help guide discussions among AI policy researchers about how to allocate resources towards mitigating the most extreme impacts of AI and it can bring attention to negative TAI scenarios that are currently neglected.