Today's Must Read comes to us from the combined efforts of the authors of this superb paper at arXiv entitled "The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation, and written by Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson*, Roman Yampolskiy and Dario Amodei (please note the attribution by author within the document. Certainly, Todays' Must Read Targeting Artificial Intelligence Gone Awry.
Today's feature post contains two fundamentally related stories that possess an equanamity of import. Yet the latter of the two is closer to my interests in animal welfare and illustrates US Veteran engagements training rangers and fighting poachers on the savannahs and in the forests of Africa. Read On, and see which is the most important to you; in either case, you be the judge!
Via Jean Kumagai, writing at the Institute of Electrical and Electronics Engineers' Spectrum Magazine, details the utilization of artificial intelligence in the effort to curtail pachyderm poaching. Simply Outstanding.
"AI is usually applied to problems of modern technology, Tambe notes, but this work is different. “We’re using AI to save the natural world—these stunning landscapes and animals that we hope won’t disappear,” he says. “These are important treasures.” - via Jean Kumagai, writing at the IEEE Spectrum Magazine
"The Story of VETPAW: Ryan Tate has always had two primary passions, and a desire to protect both: his country and animals. As it did for many brave Americans, the call to serve grew louder after the attacks of 9/11.Ryan signed enlistment papers to the U.S. Marine Corps that same year, with a commitment to join “the few, the proud” on his 18th birthday.Several years later, Ryan was exposed to the atrocities of elephant and rhino poaching, and the devastation it was having on East African communities and wildlife alike. He knew he couldn’t sit idly by. All he had to do was consider the men and women he’d served with to see that there is no one better suited to instruct and train park rangers than post-9/11 veterans.Ryan is keenly aware that many U.S. Veterans are un- or underemployed, and would benefit profoundly from the opportunity to serve in another capacity—one that would save lives. With his military experience, he’s able to speak directly to the unique skills that veterans can bring to anti-poaching efforts. He interviewed his colleagues and saw the difficulties and frustrations of men and women who are highly skilled in combat-related areas, but unable to leverage those skills in a conventional civilian setting. They have a continuing dedication to serve others, and Ryan helps them channel it." - via VetPaw
'The discovery of Higgs-boson decays in a background of standard-model processes was assisted by machine learning methods 1, 2. The classifiers used to separate signals such as these from background are trained using highly unerring but not completely perfect simulations of the physical processes involved, often resulting in incorrect labelling of background processes or signals (label noise) and systematic errors.' - via Nature 550, 375–379 (19 October 2017) doi:10.1038/nature24047
This is a joint work with Clark Barrett (NYU/Stanford University), Morgan Deters (NYU), Tianyi Liang (The University of Iowa), Andrew Reynolds (The University of Iowa/EPFL), Cesare Tinelli (The University of Iowa) and Nestan Tsiskaridze, University of California, Santa Barbara.
via the Massachusetts Institute of Technology's MIT Technology Review, comes this superlative piece of artificial intelligence (PDF) reportage. In this case, a particularly dystopian view of AI algorthmical underpinnings - illustrating the profound lack of foresight (inclusive of comprehension) in the utlility of those algorithms. Today's Must Read, Enjoy.