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

[Tracey P. Lauriault]

https://www.fatml.org/

On Tue, Jul 24, 2018 at 5:17 PM, Emma Stamm <stamm at 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*
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-- 
*Tracey P. Lauriault*

Assistant Professor
Critical Media Studies and Big Data
Communication Studies
School of Journalism and Communication
Suite 4110, River Building
Carleton University
1125 Colonel By Drive
Ottawa (ON) K1S 5B6

1-613-520-2600 x7443
Tracey.Lauriault at Carleton.ca
@TraceyLauriault
Skype: Tracey.P.Lauriault
https://carleton.ca/sjc/people-archives/lauriault-tracey/