Techno-optimism is defined as the belief that technology can improve the lives of people. It was famously satired in the U.S. television comedy series "Silicon Valley," with a startup-company's founders pledging to "make the world a better place through Paxos algorithms for consensus protocols." But some people take techno-optimism very seriously. Ray Kurzweil, an accomplished tech innovator, described his techno-optimistic vision in his books: The Age of Spiritual Machines, How to Create a Mind: The Secret of Human Thought Revealed, and The Singularity Is Near. In a keynote address (see https://goo.gl/RwkwK1) at the 2016 meeting of the Computing Research Association, Kentaro Toyama argued that "In spite of the do-gooder rhetoric of Silicon Valley, it is no secret that computing technology in and of itself cannot solve systemic social problems."
From the world's largest tech companies to start-ups, everyone is looking for people well-versed with Artificial Intelligence (AI). But a career in this business is no cakewalk: A lot of mathematics, constant leaning and understanding human behaviour are just some of the ways to get a foothold in this fast-growing industry. We spoke to five AI professionals, who tell us that a career in this field is about many different things, from data analysis, text and image recognition to linguistics--and no, evil robots do not figure in the list. AI researcher and founding member, Qure.ai Ghosh, 26, spends his days looking at X-rays.
Cuban was in conversation with Charlie Kirk, the 24-year-old founder of Turning Point USA, a right-wing non-profit organization aimed at promoting conservative political ideas among high school students. Cuban does not identify as Republican or Democrat: "I don't belong to any political party and I never will," Cuban told Kirk. Amid a wide-ranging debate about what the scope of government should be, Cuban argued that the government should be involved in funding artificial intelligence research. In November, the billionaire warned that the United States should not allow countries like China and Russia to pull ahead in terms of developing artificial intelligence. China's government has said publicly it plans to be the global leader in artificial intelligence by 2030 and Russian President Vladimir Putin has said, "the one who becomes the leader in this sphere will be the ruler of the world."
On today's show, Kevin Kelly talks on how AI technology will shape organizations and why leaders need to adapt to company teaching mentality. Kevin Kelly is the Senior Maverick at Wired Magazine, co-founded Wired in 1993 and served as its Executive Editor for the first seven years. His new book is called The Inevitable, where he discusses the 12 technological forces that will change our future. Welcome to the Innovation Ecosystem, with me today is Kevin Kelly to talk about How AI technology will shape future organizations. Kevin, I have to say when we planned this program, you were the first person that I wanted onto this show. So, I'm really pleased that we managed to find some time in your calendar, and thank you very much for making that time. So, Kevin, you described your work as packaging ideas into books, websites, and making them interesting and pretty. Before we get into your new book, The Inevitable, which is about AI technology, can you give our listeners a sense of your back story? Yeah, I was a science nerd in high school, but also interested in photography, and the arts. Couldn't decide whether to go to art school or MIT. In the end, I decided to be a college dropout, and instead because I read the Whole Earth catalogue, I was inspired to make my own education, and went to Asia where I awarded myself a graduate degree in Asian studies by roaming around for eight years mostly photographing the disappearing traditions of Asia. I also caught a really bad dose of optimism in Asia because right before my eyes I saw people lifting themselves out of poverty very, very quickly, and becoming, from some of the poorest nations of the Earth, to some of the richest ones. This was in the 70s? This was in the 70s, right exactly. So, I came back in the 80s, and I was writing about travel because that was something I knew about. I got myself invited onto the earliest experimental online systems in the very early 80s, 1981, or something. I was reporting on it as if it was a new foreign country, like a travel reporter, and I saw something for the first time, which was high technology that was very human and organic.
Classes at the Hyper Island business school can be uncomfortable at times. When its Masters degree students comes up with an idea for a digital business model, the professors will poke as many ethical holes in it as they can. Stanford University, a spawning ground for Google, Cisco, Yahoo, Netflix and the recently-disgraced Theranos, said earlier this month that it would start integrating ethics more deeply into its technology courses. Hyper Island says it's already been doing that for 20 years. In a typical module, teachers at the "alternative degree provider" will regularly ask questions about the impact of a digital service that's being built, says Jonathan Briggs, a co-founder of the Swedish school, which also has branches in Manchester, UK, Singapore, New York and Sao Paulo.