Note: 3.5/5 (118 notes) 29,027 students Welcome to experience "SuperMinds: The Future of Artificial Intelligence (AI)". Artificial intelligence (AI) was once the dream of science fiction writers – the most famous ones. In today's day, AI research is constant and continues to grow day by day. Artificial Intelligence (AI) has a hand in everything from what we see on a Facebook-like social media platform to actually determining what the best treatment will be during a hospital stay. Over the last five years, AI research has grown exponentially by 19.9% annually worldwide, according to technology writers and researchers. Smarter or High-end technologies in our factories and workplaces and connected machines that will interact, visualize the entire production chain, and in fact – make great decisions autonomously are just a couple of the methods that the Industrial AI Revolution in 2019-25 will cause advancements in business.

A landmark battle raged in New York City on May 11, 1997. This contest was dubbed the brain's last stand and considered the proverbial human-versus-machine duel. In the end, IBM's Deep Blue routed the World Chess Champion at the time, Garry Kasparov. It changed the way humans looked at Artificial Intelligence (AI). Over the next two decades, AI has grown a lot smarter.

Artificial intelligence (AI) is one of the signature issues of our time, but also one of the most easily misinterpreted. The prominent computer scientist Andrew Ng's slogan "AI is the new electricity"2 signals that AI is likely to be an economic blockbuster--a general-purpose technology3 with the potential to reshape business and societal landscapes alike. Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don't think AI will transform in the next several years.4 Such provocative statements naturally prompt the question: How will AI technologies change the role of humans in the workplaces of the future? An implicit assumption shaping many discussions of this topic might be called the "substitution" view: namely, that AI and other technologies will perform a continually expanding set of tasks better and more cheaply than humans, while humans will remain employed to perform those tasks at which machines ...

IBM began working on its Watson supercomputer then as well. It seems like it's been ages, but these major innovations only happened 12 years ago. And the speed of technological change has only gotten faster, especially with breakthroughs in artificial intelligence (AI). As AI and other digital technologies permeate our workplaces and business practices, employees now have to acquire new skills and evolve just as quickly to keep up with the pace of change. What we find across many enterprises, however, is a growing talent gap, where people want to learn the latest necessary skills, but not enough companies are providing the right reskilling options.

Artificial intelligence was once the dream of science fiction writers – the most famous ones. In today's day, AI research is constant and continues to grow day by day. Artificial Intelligence (AI) has a hand in everything from what we see on a Facebook-like social media platform to actually determining what the best treatment will be during a hospital stay. Over the last five years AI research has grown exponentially by 19.9% annually worldwide, according to technology writers and researchers. Smarter or High-end technologies in our factories and workplaces and connected machines that will interact, visualise the entire production chain and in fact – make great decisions autonomously is just a couple of the methods that the Industrial AI Revolution in 2019-25 will cause advancements in business. Within the next six to seven years (by the year 2025), China is predicted to become the biggest global source of artificial intelligence (AI), taking over the United States' (US) second lead in 2004 -- and it is quickly closing in on Europe's number 1 spot.

"For most real problems, there aren't perfect answers," writes Thomas W. Malone. "But when they are connected in the right ways, groups of people and computers together can often get closer to perfect intelligence than either could alone." Malone, who is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence, explores the potential of such connections in his new book, Superminds: The Surprising Power of People and Computers Thinking Together, from which this excerpt is taken. Will general AI be a form of collective intelligence? We know that the human brain is itself a form of collective intelligence.

An increasing amount of focus is being placed on the integration of AI into traditionally human domains. Whether it be manufacturing, HR departments or cookery, robots are being built to help out in any given industry. It is easy to talk about the importance of smooth integration, but how can this be achieved? Are there already examples of this being achieved? Human employees can learn to work alongside AI, pooling their strengths together for a greater outcome.

We naturally think of "intelligence" as a trait belonging to individuals. We're all--students, employees, soldiers, artists, athletes--regularly evaluated in terms of personal accomplishment, with "lone hero" narratives prevailing in accounts of scientific discovery, politics, and business. Similarly, artificial intelligence is typically defined as a quest to build individual machines that possess different forms of intelligence, even the kind of general intelligence measured in humans for more than a century. Yet focusing on individual intelligence, whether human or machine, can distract us from the true nature of accomplishment. As Thomas Malone, professor at MIT's Sloan School of Management and director of its Center for Collective Intelligence notes: "Almost everything we humans have ever done has been done not by lone individuals, but by groups of people working together, often across time and space." Malone, the author of 2004's The Future of Work and a pioneering researcher in the field of collective intelligence, is in a singular position to understand the potential of AI technologies to transform workers, workplaces, and societies. In this conversation with Deloitte's Jim Guszcza and Jeff Schwartz, he discusses a vision outlined in his recent book Superminds--a framework for achieving new forms of human-machine collective intelligence and its implications for the future of work. Can you tell us what a "supermind" is, and how you define collective intelligence? Thomas Malone, director, MIT Center for Collective Intelligence: A "supermind" is a group of individuals acting collectively in ways that seem intelligent, and collective intelligence essentially has the same definition. For many years, I defined collective intelligence as groups of individuals acting collectively in ways that seem intelligent. But I think it's probably more useful to think of collective intelligence as the property that a supermind has.

Forbes has been publishing hundreds of articles a day for more than five years. As a Data Scientist, when I hear about that volume of data, the first thing that jumps to mind is: what can we learn from it? Are there best practices we can glean? We started by looking at what colleagues are doing with their own systems. We really enjoyed reading about BuzzFeed's in-house headline A/B testing system, about the New York Times' clever image cropping application, and also about the Washington Posts' feature-rich CMS-for-hire Arc Publishing, among others.

Virtually all human achievements have been made by groups of people, not lone individuals. As we incorporate smart technologies further into traditionally human processes, an even more powerful form of collaboration is emerging. The ongoing, and sometimes loud, debate about how many and what kinds of jobs smart machines will leave for humans to do in the future is missing a salient point: Just as the automation of human work in the past allowed people and machines to do many things that couldn't be done before, groups of people and computers working together will be able to do many things in the future that neither can do alone now. To think about how this will happen, it's useful to contemplate an obvious but not widely appreciated fact. Virtually all human achievements -- from developing written language to making a turkey sandwich -- require the work of groups of people, not just lone individuals.