The future of AI must involve exploring and understanding the parts of human intelligence we haven't been looking at that much--the stuff at the heart of human thought. To do this, we need to stop looking for new ways to solve well-defined problems and start looking for ways to combine the things we know how to do, and then see if this helps us explore problems with more diversity and scope.
The excitement of artificial intelligence continues. We keep hearing grand promises of a complete re-shaping of organizations and society thanks to big data and AI-powered projects. Media reports on new technical advances, and it's easy to get the feeling that new "artificial minds" are outperforming humans in more and more domains, ranging from healthcare, transportation, logistics, and financial investment, to games and even creativity. At the same time, recent studies estimate that 60 percent of data-driven and AI projects fail to even launch. And we also hear many concerns about the risks with AI, such as robots taking people's jobs and how negative bias can spread fake information that can amplify and distort public opinion.
Artificial Intelligence (AI) is continuing to advance. But in many AI initiatives, a critical component is missing. Read about why Human-Centered Design critical to succeed in the AI space, and how you can get started. The excitement of artificial intelligence (AI) continues. We keep hearing grand promises of a complete re-shaping of organizations and society thanks to big data and AI-powered projects.
Ever since the dawn of Industrial Revolution, humanity has faced an increasing threat of competition from machines and other technological innovations. These threats have on multiple occasions seemed quite overwhelming, and poised to completely destroy the human society. At other times technology was perceived more of an ally to human flourishing, and an overwhelming force for good. Right now both of those perceptions have very strong and persuasive proponents, as "The Rave Against The Machine" quite eloquently argues. The premise of this book is that the current technological revolution, the one that started with the dawn of computer era, is one of the main factors in keeping the job markets down.
Just over 19 years ago, a milestone in the world of AI was achieved when IBM's supercomputer Deep Blue defeated Garry Kasparov. Until then, he was the undefeated world Chess champion – probably the greatest human player of all time. This was a momentous event in AI's brief history. Computer chess programs had been playing good chess since the 1970's, and had improved to the point where their level of play would beat the vast majority of the population. I myself recall buying a chess program in the early 1980's which offered 6 levels of play from beginner to advanced.