Hi Emma, Could you be more specific as to why you are seeking these materials? (i.e. to understand AI generally, to teach AI to an undergrad class in X). The AI literature is huge, and having a little more info would be helpful. Also, although AI and ML tend to be used interchangeably, they are considered by many to be different. And Jenny, what a great resource. Thank you for sharing. ______ Andrea L. Guzman, Ph.D. Assistant Professor Dept. of Communication Northern Illinois University alguzman@niu.edu Read an advance copy of "What is Human-Machine Communication, Anyway?" https://bit.ly/2LKcpVf, the introduction to Human-Machine Communication: Rethinking Communication, Technology, & Ourselves forthcoming from Peter Lang. Date: Wed, 25 Jul 2018 03:12:11 +0000 From: Jenny Davis <jennifer.davis@anu.edu.au> To: Emma Stamm <stamm@vt.edu>, aoir list <air-l@aoir.org> Subject: Re: [Air-L] Seeking resources on A.I. and machine learning Message-ID: <SY3PR01MB0971391EC2B6C2530FB25740B0540@SY3PR01MB0971.ausprd01.prod.outlook.com> Content-Type: text/plain; charset="Windows-1252" Hi Emma and All, I've been compiling an "AI for social scientists" list as a Google Doc. Editing is set to public so feel free to add! It's currently organized reverse chronologically and has lots of room to grow. https://docs.google.com/document/d/1xAQlNqpoK8TUoB21i4XVze1zxkvgcKe06evTfdqd... [https://lh3.googleusercontent.com/ctAthH-HY-83A1XyPMxgu5yYr8_ahLAHoC1ksfl2fi1PSlis4jlqTsKOJV3s1jmR3h8dQQ=w1200-h630-p]<https://docs.google.com/document/d/1xAQlNqpoK8TUoB21i4XVze1zxkvgcKe06evTfdqd7BA/edit?usp=sharing> AI Reading List<https://docs.google.com/document/d/1xAQlNqpoK8TUoB21i4XVze1zxkvgcKe06evTfdqd7BA/edit?usp=sharing> docs.google.com AI Readings for Social Scientists Dillon Reisman, Jason Schultz, Kate Crawford, Meredith Whittaker. 2018 ?AI Now Algorithmic Impact Assessments? https://ainowinstitute.org/aiareport2018.pdf Eubanks, Virginia. 2018. ?Automating Inequality? https://us.macmillan.com/automatinginequality/virginiaeu... Best, Jenny Jenny L. Davis Lecturer, School of Sociology The Australian National University Co-Editor: Cyborgology<https://thesocietypages.org/cyborgology/> <https://twitter.com/Jenny_L_Davis> Twitter: @Jenny_L_Davis<https://twitter.com/Jenny_L_Davis> ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of Emma Stamm <stamm@vt.edu> Sent: Wednesday, July 25, 2018 7:17:46 AM To: aoir list Subject: [Air-L] Seeking resources on A.I. and machine learning 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 Join the Association of Internet Researchers: http://www.aoir.org/