Artificial Intelligence News for July 04 2017

Panel discussion on the future of artificial intelligence

I was recently invited to moderate a discussion at the excellent Fuel 2017 technology and innovation conference, hosted by Belgian media company Medialaan.

Artificial Intelligence Services

Amazon Machine Images are a great way to quickly start using deep learning technologies on AWS. The AWS Deep Learning AMIs come pre-installed with popular open source deep learning frameworks, GPU-acceleration through pre-configured CUDA drivers, and supporting tools such as Anaconda and Jupyter. To learn more, visit the AWS Deep Learning AMI site.
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Artificial intelligence is quickly becoming as biased as we are

Here, you’ll find hairstyles, generally done in a professional setting by stylists. In it, you’ll find a hodge-podge of hairstyles sported by black women, all of which seem, well, rather normal. On a personal note, I can’t see anything unprofessional about any of these, yet the fact it surfaced when I typed in that query proves not everyone sees it that way. In this case, you’ll see a barrage of tweets complaining about being told by bosses, colleagues or others that their hair was unacceptable for the workplace. Boing Boing spotted this back in April 2016. Is just how much of our lives we’re on the verge of handing over to artificial intelligence. With today’s deep learning algorithms, the ‘training’ of this AI is often as much a product of our collective hive mind as it is programming. Artificial intelligence is using our collective thoughts to train the next generation of automation technologies. As Donald Trump spouts off at the mouth in racist, sexist, xenophobic rants about how to make the country great again, the language is being used to train Twitter bots that share his views. In the future, our neighborhoods will see an increase or decrease in police presence based on data that we already know is biased. We’re still very much in the infancy of what artificial intelligence is capable of. In five years, 10 years, 25 years, you can imagine how much of our lives will be dictated by algorithms. What’s becoming clear though, is that not everything we’re teaching them is worth passing on. Read next: Instagram will let businesses add a ‘book appointment’ button.
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SafArtInt 2016

The computer science community has been exploring the role of artificial intelligence in systems for more than a half-century. In the last few years, AI development has reached a threshold of practicability, and AI capability is now emerging in sectors ranging from vehicles, logistics, and military systems to health care, financial services, and smart cities. Many technical leaders now believe that the principal limits on exploiting AI derive primarily from our confidence in the safety of these smart systems – that they will operate in a safe and controlled manner. Some AI experts have asserted that the ability to assure safety and control is more important to the future of AI even than improvements in the AI algorithms themselves. The safety challenge is significant because of both the complexity of the AI systems and also the richness of their interactions with their human users and their operating environments. Consider, for example, the need for ensuring safety of an autonomous vehicle driving through a highway construction zone on a rainy night. The challenge increases when the AI systems are adapting themselves – changing their behavior – through machine learning. The challenge also increases when AI systems are interacting in complex ways with other separately-developed AI systems that are themselves learning and adapting. The Public Workshop on Safety and Control for Artificial Intelligence is a jointly-sponsored event of the White House Office of Science and Technology Policy and Carnegie Mellon University. The workshop, scheduled for June 28th, 2016, will include keynote talks and panel discussions that explore the potential future of AI and AI applications, the emerging technical means for constructing safe and secure systems, how safety might be assured, and how we can make progress on the challenges of safety and control for AI. In other words, how can we construct productive collaborations of the AI technical community, the application community, and the assurance community? On the day prior to the public workshop, Carnegie Mellon is separately hosting a technical workshop event to prepare for the main event. Discussions will focus on needs and challenges for AI safety and control and on how the AI and assurance research communities might productively collaborate. The results of these technical workshops will be presented at the workshop the next day. In preparation for the technical workshop event, Carnegie Mellon will publish an open solicitation for white papers related to the workshop topics.
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How worried should we be about artificial intelligence? I asked 17 …

Mar 8, 2017 … “We should take seriously the possibility that things could go radically wrong.”
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Salary: Artificial Intelligence | Glassdoor

16 Artificial Intelligence Salaries provided anonymously by employees. What salary does a Artificial Intelligence earn in your area?
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Artificial Intelligence and Medicine

Most of what we know about the practice of medicine we know from interrogating the best human practitioners; therefore, the techniques we tend to build into our programs mimic those used by our clinician informants. Numerous computer programs for decision making in small domains of medicine have employed the decision theoretic formalism [6, 8]. The chief disadvantages of the decision theoretic approach are the difficulties of obtaining reasonable estimates of probabilities and utilities for a particular analysis. As the reader will see, each program concentrates on a particular aspect of the medical diagnostic or therapeutic problem, bringing to bear techniques derived from or inspired by the methods of Al to overcome deficiencies of the traditional approaches to decision making in medicine. We use the discussion of this chapter to address a number of non-technical issues in the development of AIM programs as well: the nature of collaboration between physicians and computer scientists, the trial-and-error method of program and theory refinement, the requirements for careful testing of programs intended for potential life-saving or life-threatening applications, and the eventual need for commercial involvement in the development of such programs before they can be broadly disseminated. Although the program proposed here has now begun to work, it is described in the chapter not as a working program but as a set of requirements for sophisticated representations for the second generation of AIM programs.
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Watch Full movie A.I. Artificial Intelligence (2001 …

Watch Full movie A.I. Artificial Intelligence (2001) Online Free.A highly advanced robotic boy longs to become “real” so that he can regain the love
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The Best Artificial Intelligence Movies – Ranker

A list of the best artificial intelligence movies ever made, ranked by movie fans with film trailers when available. This artificial intelligence movie list is …
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