What Algorithms Want

RSVP here >> Algorithms tell us what to read, where to go, and whom to date…but do we really understand them? It’s easy to think of algorithms as magical beings, delivering purely objective, admirably efficient, and sometimes startlingly insightful solutions to our everyday problems, but in […]

What Algorithms Want: Imagination in the Age of Computing

The founding director of the Center for Science and the Imagination at ASU presents his latest book, explaining the ties that connect algorithms and computing to human culture–past and present. Order the book Algorithms tell us what to read, where to go, and who to date…but […]

Algorithms Are Like Kirk, Not Spock

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.

A close up photo of a computer screen with unreadable numbers and words stack on each other and all different colors.

What if Computers Know You Better Than You Know Yourself?

I recently read about the launches of both an “ultrasecure” mobile phone for protecting privacy and a clip-on camera that takes a picture of everything you do at 30-second intervals. Our cultural relationship with data is more complicated and contradictory than it has ever been, and our debates on the subject almost always center on privacy. But privacy, the notion that only you should be able to control information about yourself, cloaks a deeper tension between information and meaning, between databases and insights.