The Only Bigger Existential Threat to Humanity than Artificial Intelligence(AI), Google Eric Schmidt
The Only Bigger Existential Threat to Humanity than Artificial Intelligence (AI) is Nuclear War, Google Eric Schmidt (Oct 2016)
Artificial Intelligence in Retail Site Selection – Experian
Artificial Intelligence in Retail Site Selection Building “Smart” Retail Performance Models to Increase Forecast Accuracy By Richard M. Fenker, Ph.D.
The Limits of Artificial Intelligence
This week scientists unveiled a robot that can sustain injury to one of its six legs, think for a few minutes, and devise a more efficient way to walk-by essentially “Limping” away as fast as possible. Jeff Clune and his colleagues accomplished the feat by endowing the robot with what they call a “Simulated childhood” of possible motions, and letting the robot figure out the rest. How far can this sort of robotic thought go? According to computer scientist Ashok Goel, if robots have unlimited capability to learn, “Why would there be a limit to emotional intelligence?” After all, he says, humans aren’t born with a full set of emotional and ethical intelligence-children learn it by observing adults.
Though this is still nowhere near prime John Cale, 1985’s Artificial Intelligence is a big step up from its predecessor, 1984’s weak and sloppy Caribbean Sunset. For the first time in his career, Cale works with a collaborator on each song: Rock journalist Larry Sloman wrote the lyrics for all nine songs, with guitarist and co-producer David Young chipping in on two of them. Sloman’s lyrics are uneven, ranging from the nonsensical “Satellite Walk” to the affecting “Dying on the Vine,” one of the loveliest and most haunting songs of John Cale’s entire career. Musically, the album sounds a bit dated in its reliance on standard mid-’80s synths and drum machines, but the production is worlds better than it had been on the muddy Caribbean Sunset, with the atmospheric “Every Time the Dogs Bark” and “Chinese Takeaway” benefiting the most. Artificial Intelligence is no Paris 1919, but it’s an encouraging partial return to form.
Philosophy and Theory of Artificial Intelligence
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory; or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.