Another list that I am maintaining, from the perspectives of cultural + software studies + artistic practices, also with technical parts where source code is available (from the perspective of beginner). http://softwarestudies.projects.cavi.au.dk/index.php/Machine_Learning_Experi... /winnie -- /* Winnie Soon - artist-researcher Assistant Professor @ PIT Research Centre, Aarhus University, Denmark <http://pit.au.dk> www.siusoon.net <http://www.siusoon.com> */ On 24 July 2018 at 23:17, Emma Stamm <stamm@vt.edu> wrote:
Dear AoIRists,
I am researching artificial intelligence and machine learning within the framework of digital culture studies and philosophy of technoscience. Right now, I am looking for articles that reflect current developments in AI & ML programming that are suitable for non-STEM experts. Specifically, I am interested in pieces that illuminate the ways in which generalization and inductive/abductive reasoning are essential to algorithms that effectively “predict” the future. However, more wide-ranging, introductory pieces would also be helpful for me.
I am familiar with the work of Pedro Domingos, but do not know of many other sources that suit my needs. Any recommendations would be very welcome.
Thank you in advance!
Best,
Emma
-- *Emma Stamm* *PhD Student, ASPECT Virginia Tech <https://liberalarts.vt.edu/departments-and-schools/ alliance-for-social-political-ethical-and-cultural-thought.html>* *o-culus.com <http://o-culus.com> | @turing_tests* _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
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