The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are close to being solved, and which ones remain exceptionally hard? There isn’t currently a good single place to find the state of the art on well-specified machine learning metrics, let alone the many problems in artificial intelligence that are still so hard that there are no good datasets and benchmarks to keep track of them yet. So we are trying to make one. Today, we’re launching the EFF AI Progress Measurement experiment, and encouraging machine learning researchers to give us feedback and contribute to the effort.
Sourced through Scoop.it from: www.eff.org
