Pursuing AI Research in a Context of Human Ethics

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The New York Times is reporting an nascent effort on the part of leading commercial companies with AI research programs, including Alphabet, Facebook, Microsoft, IBM, and Amazon, to work together in self-regulating the interactions of social and ethical considerations with AI research.

The Times report is here:

http://www.nytimes.com/2016/09/02/technology/artificial-intelligence-ethics.html?ref=technology

The big 5 are discussing a collaboration to devise a framework to insure ethical research and development efforts, as artificial intelligence and cognitive computing systems increasingly enter into and in some cases direct decision ...

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Susan Feldman Presents Cognitive Application Framework at CSIG

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Sue Feldman presented her work on developing a framework for analyzing cognitive computing applications at the Cognitive Systems Institute Group Speaker Series on September 1, 2016.

She described a general framework integrating business value, application behavior, technology deployed, and data sources curated. She also offered her views on the emerging continuum of cognitive applications, ranging from tightly honed expert systems to open, exploratory kinds of applications designed to promote serendipity.

Interaction context is another foundation element in cognitive applications, and Sue presented ...

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HP Announces API Combinations for Cognitive App Development

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HPE (Hewlett Packard Enterprise) has announced a new offering and marketplace infrastructure with the enviable title of HPE Haven OnDemand Combinations, designed to accelerate the development of “next generation cognitive applications.” The combinations are preconfigured sets or chains of APIs which have been available from HPE in the IDOL on-premise software and more recently offered in a variety of freemium and commercial packages through HPE’s Haven OnDemand cloud services.

HPE’s description of the new functionality can be found here:

https://community.havenondemand.com/t5/Blog/Introducing-the-fastest-way-to-add-intelligence-to-all-your-apps/ba-p/3227

Any application ...

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Approaches to Artificial Neuron Processing: Phase Change Materials et. al.

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IBM has announced multiple projects in its program to design a new generation of chips that might achieve orders-of-magnitude improvements in power and efficiency. The general model for this research is the low power consumption, highly connected, extremely flexible and adaptable human brain.

This week, the firm’s Zurich-based semiconductor unit published a report of their work in Nature Nanotechnolgy. The article describes their success at using phase change materials to create artificial neurons.

Find a summary of the work here:

http://siliconangle.com/blog/2016/08/03/ibm-develops-new-artificial-neurons-that-process-data-like-the-human-brain/

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Machines, Biology and the New Coding Era

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Veteran Boston-based radio host Christopher Lydon takes on the intersection of biotech and cognitive in a three-part series of shows on Radio Open Source. The first episode Apocalypse Now?: The Rise of the Machines, aired on August 4 and is available online at:

http://radioopensource.org/apocalypse-now-part-1-rise-machines/

The second episode, Apocalypse Now?: A Remade Man, dives into the biotech revolution and how new coding techniques are leading to a variety of breakthroughs in medicine and elsewhere. This show is available here:

http://radioopensource.org/apocalypse-now-remade-man/

The third episode ...

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Legal Issues: Can we depend on algorithms to make decisions?

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In the cognitive computing era, there are plenty of tough technical challenges. Their difficulty pales, however, when compared to the social and legal issues these new technologies raise. Increasingly, we rely on algorithms to help us sort through the complex factors that lead to making a decision. Often this reliance is not based on knowing whether the algorithm is dependable. Articles by Julia Angwin in the New York Times and ProPublica on Aug. 1st celebrate a decision by the Wisconsin ...

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Getting from A to B: Cognitive Scale Infusion

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Austin-based cognitive platform startup Cognitive Scale announced that it had closed a $21.8 Series B round of funding lead by Intel Capital and Norwest Venture Partners. See more details:

http://www.bizjournals.com/austin/news/2016/08/02/austin-big-data-software-maker-rakes-in-21-8m.html

Founded in 2013 and launched in 2014 by Manoj Saxena and Matt Sanchez, former IBM Watson executives, the company had significant early support from Saxena’s The Entrepreneurs’ Fund. The new round is another indicator that the venture community is beginning to look at cognitive as a maturing opportunity. Most cognitive and ...

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Today’s Machine Relationships: Who Do You Trust to Drive the Car?

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Writing for the Harvard Business Review, Walter Frick takes a look at the complex issues involved in the technology and the emotional elements of “self-driving” cars.

Frick’s evaluation starts with the recent fatal Florida crash between a Tesla “driven” by an auto-pilot enthusiast and a commercial semi-trailer truck. In trying to understand and explain this crash, his questions rightly center on a threshold factor for cognitive systems: trust. “The causes of these crashes are uncertain, but they have added urgency to ...

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Google DeepMind To Scan Eyeballs

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Google has reached an agreement to partner with Moorfields Eye Hospital in London on a project to use Google’s machine learning to try to discover paths to early detection of eye problems from diabetes sufferers and from the onset of macular degeneration in aging populations.

Google’s health unit will use deep learning to assess over one million anonymized hi-res 3-D eye scans with the goal of becoming able to automatically diagnose vision problems in hi-risk groups. The hope is that ...

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CEO Roundup — Views On AI from 5 Top Tech Execs

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Business Insider offers a capsule summary of the current views on AI held by five of the most influential executives in technology: Eric Schmidt of Google, Elon Musk of Tesla & Space X, Satya Nadella of Microsoft, Mark Zuckerberg of Facebook, and Jeff Bezos of Amazon.

On malicious AI, with the exception of Musk, they trend non-alarmist. On near-term and medium-term opportunities, they are cautiously optimistic.

Satya Nadella, in particular, has a recent nuanced view articulated in Slate.

The bottom line is that ...

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