Access the full text.
Sign up today, get DeepDyve free for 14 days.
Empirical research (e.g. Danaher et al., 2018; Just and Latzer, 2017; Kitchin, 2017) shows that algorithmic selection plays a part in reality construction. Using data from BI Intelligence, Forbes, HfS Research, Ipsos, Medium, Statista, etc., I performed analyses and made estimates regarding reasons for using algorithms in trading, size of the robotic process automation market worldwide, and fastest growing marketing technologies. Empirical and secondary data are used to support the claim that the experiences regulated by automated algorithmic selections co-define human beings’ harmonization and combined effort. Algorithms are permeated with the capacity to put data into effect and make far-reaching decisions. Keywords: algorithmic regulation; automated decision-making; networked governance
Review of Contemporary Philosophy – Addleton Academic Publishers
Published: Jan 1, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.