Recent years have seen an eruption of concern about machine learning. When the systems we attempt to teach don’t do what we want or what we expect, ethical and potentially existential risks emerge. In this talk, Brian Christian discusses the inherent biases in algorithms and the varying complexities of the
Tag: wrong
What Happens When Machine Learning Goes Wrong? | A Guide To Managing The Risks
“products and services that rely on machine learning – computer programs that constantly absorb new data and adapt their decisions in response – don’t always make ethical or accurate choices. sometimes they cause investment losses, for instance, or biased hiring or car accidents. and as such offerings proliferate across markets,
Your Data-Driven Decisions Are Probably Wrong
Way too often, we’re guilty of relying on data to make decisions for us. And who can you blame us? Data is sexy. It’s tangible. It makes it easy to support our argument. But without context, we can’t replicate the successes or fully understand the shortcomings that the data conveys.
