[Air-L] Seeking resources on A.I. and machine learning

[Andrea Guzman]

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 at 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 at anu.edu.au>
To: Emma Stamm <stamm at vt.edu>, aoir list <air-l at aoir.org>
Subject: Re: [Air-L] Seeking resources on A.I. and machine learning
Message-ID:
        <SY3PR01MB0971391EC2B6C2530FB25740B0540 at 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/1xAQlNqpoK8TUoB21i4XVze1zxkvgcKe06evTfdqd7BA/edit?usp=sharing

[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 at listserv.aoir.org> on behalf of Emma Stamm <stamm at 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*
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