A cultural engine for thoughtful optimism
Bioethical Inquiry
Peter Nagy, Ruth Wylie, Joey Eschrich and Ed Finn
Horizon Arizona PBS
Ed Finn and David H. Guston The Wall Street Journal
By Joey Eschrich and Ed Finn
Future Tense – Slate
Ed Finn
Aeon
Ed Finn
Slate – Future Tense
What kinds of gripping confrontations and adventures might unfold in near space, above the clouds?
Cory talks about his new novel Walkaway and his essay in the book Frankenstein: Annotated for Scientists, Engineers, and Creators of All Kinds, a new critical edition edited by the leaders of ASU’s Frankenstein Bicentennial Project.
Erin Walker, Ruth Wylie, Andreea Danielescu, James P. Rodriguez III, Ed Finn End-User Considerations in Educational Technology Design, IGI Global
A unique and accessible edition of one of the most thought-provoking and influential novels ever written.
The MIT Press Podcast
Future Out Loud Podcast
In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.
Peter Nagy, Ruth Wylie, Joey Eschrich, Ed Finn Science and Engineering Ethics Download article
Groton School Quarterly, Winter 2017
By Ed Finn, CNN Opinion
By Megan K. Halpern, Jathan Sadowski, Joey Eschrich, Ed Finn, and David H. Guston
Bulletin of Science, Technology & Society
When technologists describe their hotshot new system for trading stocks or driving cars, the algorithm at its heart always seems to emerge from a magical realm of Spock-like rationality and mathematical perfection. Algorithms can save lives or make money, the argument goes, because they are built on the foundations of mathematics: logical rigor, conceptual clarity, and utter consistency. Math is perfect, right? And algorithms are made out of math.
We spend an awful lot of time now thinking about what algorithms know about us: the ads we see online, the deep archive of our search history, the automated photo-tagging of our families. We don’t spend as much time asking what algorithms want.
