Where is the internet we were promised? It feels like we’re dominated by megalithic, siloed platforms where users have little or no say over how their data is used and little recourse if they disagree, where direct interaction with users is seen as a bug to be fixed, and where art and creativity.
U.S. democracy is at an inflection point, and how we administer and verify our elections is more important than ever. From hanging chads to glitchy touchscreens to partisan disinformation, too many Americans worry that their votes won’t count and that election results aren’t trustworthy. It’s.
It often feels like machine learning experts are running around with a hammer, looking at everything as a potential nail - they have a system that does cool things and is fun to work on, and they go in search of things to use it for. But what if we flip that around and start by working with people.
Computer scientists often build algorithms with a keen focus on “solving the problem,” without considering the larger implications and potential misuses of the technology they’re creating. That’s how we wind up with machine learning that prevents qualified job applicants from advancing, or blocks.