4 ms·

As one related example, DARPA is interested in "explainable artificial intelligence". Essentially machine learning where the decision making process and interme

• killjoywashere 10y ago
  What's funny is Google's actually doing a fair bit of this already with the TensorFlow playground, flow-based programming, Distill, etc. DoD will shower money on researchers, but those same researchers will do the work for Google for stock, a decent salary, and access to interesting problems that don't involve killing people.
  • Sunset 10y ago
    But making intelligent killing machines is half the fun of heralding into a Terminator inspired future distopia.
  • Teever 10y ago
    > but those same researchers will do the work for Google for stock, a decent salary, and access to interesting problems that don't involve killing people. Regardless of origin you can rest assured the technology will make its way into the hands of a killer. It always does.
  • nl 10y ago
    That's not what "explainable ML is". That project is about explaining how (say) a given classifier came to a decision on a given set of data. This is fairly easy on a tree-based classifier, but on a deep neural network is extremely difficult. The most impressive piece of work I'm aware of in this area is LIME, from “Why Should I Trust You?” Explaining the Predictions of Any Classifier[1] The acknowledgement section of that paper read, in part: This work was supported in part by ONR awards #W911NF-13-1-0246 and #N00014-13-1-0023, and in part by TerraSwarm, one of six centers of STARnet, a Semiconductor Research Corporation program sponsored by MARCO and DARPA. Today I saw ELI5[2], which encapsulates LIME and a number of other similar tools. [1] https://arxiv.org/pdf/1602.04938.pdf https://arxiv.org/pdf/1602.04938.pdf [2] http://eli5.readthedocs.io/en/latest/ http://eli5.readthedocs.io/en/latest/
• jstanley 10y ago
  This is a 404 page now.
  • 3131s 10y ago
    Hmm, it still loads for me.