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Rescooped by Dr. Stefan Gruenwald from Web 3.0
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AI & The Future Of Civilization 

AI & The Future Of Civilization  | Science-Videos | Scoop.it

What makes us different from all these things? What makes us different is the particulars of our history, which gives us our notions of purpose and goals. That's a long way of saying when we have the box on the desk that thinks as well as any brain does, the thing it doesn't have, intrinsically, is the goals and purposes that we have. Those are defined by our particulars—our particular biology, our particular psychology, our particular cultural history.

 

The thing we have to think about as we think about the future of these things is the goals. That's what humans contribute, that's what our civilization contributes—execution of those goals; that's what we can increasingly automate. We've been automating it for thousands of years. We will succeed in having very good automation of those goals. I've spent some significant part of my life building technology to essentially go from a human concept of a goal to something that gets done in the world.

 

There are many questions that come from this. For example, we've got these great AIs and they're able to execute goals, how do we tell them what to do?...

 

STEPHEN WOLFRAM, distinguished scientist, inventor, author, and business leader, is Founder & CEO, Wolfram Research; Creator, Mathematica, Wolfram|Alpha & the Wolfram Language; Author, A New Kind of Science. Stephen Wolfram's Edge Bio Page


Via Pierre Tran
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Rescooped by Dr. Stefan Gruenwald from Tracking the Future
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IBM Watson for Healthcare

Dr. Martin Kohn, Chief Medical Scientist, Care Delivery Systems, IBM Research

Abstract: We have solid ideas about the flawed state of healthcare, the critical need for change and the future we want. Improving health outcomes while controlling costs and personalizing healthcare are among the objectives. It is clear that enabling the transformation of healthcare will require making better decisions. At the same time we are dealing with huge and expanding volumes of data. We will need tools to help us gather and analyze data to bring relevant information to decision makers so that it easier to obtain evidence-supported choices. Unstructured, text-like content is a large fraction of the data we rely on for decisions. Up until recently we have had limited ability to use unstructured material effectively. IBM's Watson, with its ability to understand the nature of a question being addressed and to read and understand huge volumes of literature, makes such material more approachable. However, making medicine more precise mandates the use of other forms of data, and population observational techniques. Predictive analytics, to identify people that need specific attention, and comparative analytics to elicit evidence from populations that can be applied to individuals, are part of the process. IBM has developed robust resources that provide such information.

Speakers Biography: Dr. Kohn is Chief Medical Scientist for Care Delivery Systems in IBM Research. He is a leader in IBM's support for the transformation of healthcare, including development of personalized care, outcomes-based models and payment reform. His research work includes healthcare population analytics and the role of expert systems in the clinical decision process, including the use of the Watson supercomputer in healthcare. He speaks frequently on the issues on healthcare transformation, the role of information technology, the Patient Centered Medical Home and clinical decision support. Dr. Kohn is a co-author of IBM's white paper "Patient-Centered Medical Home -- What, Why and How." He is on the editorial board of the Journal of Emergency Medicine. Dr. Kohn was previously in IBM Healthcare Strategy and Change which helped healthcare systems and clinicians optimize process and make best use of health information technology. He has published multiple articles and book chapters on clinical, technical and management subjects. Dr. Kohn is an emergency physician with over 30 years of hospital-based practice and management experience. He is an alumnus of MIT, Harvard Medical School and NYU, and is a Fellow of the American College of Emergency Physicians and the American College of Physician Executives.


Via Szabolcs Kósa
Szabolcs Kósa's curator insight, January 30, 2013 5:35 PM

fascinating technology!

Rescooped by Dr. Stefan Gruenwald from Tracking the Future
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The Rise of Artificial Intelligence | PBS Digital Studios

Artificial intelligence is an ever evolving goal for researchers, and the object of endless fascination for writers, filmmakers, and the general public. But despite our best science fiction visions, creating digital intelligence is incredibly difficult. The universe is a very complicated place, and humans have had millions of years to evolve the ability to navigate and make sense of it. Contemporary attempts to create AI have us looking more at how our own brains work to see how a computer could simulate the core activities that create our intelligence. No matter how we get there, it is certain that artificial intelligence will have tremendous impact on our society and economy, and lead us down a path towards evolving our own definitions of humanity.


Via Szabolcs Kósa
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