How Do We Keep AI Systems From Learning Bad Things? Laserfiche

Much has been said about artificial intelligence (AI) and machine learning, which learn from their interactions so that they can work better in the future. But a number of incidents have pointed out how easy it is for AI systems to go astray, either by accident or because people deliberately set out to corrupt them. That computer programs respond based on the data they're given isn't new; "Garbage in, garbage out" dates back to the 1950s. As computers and software grow increasingly sophisticated in the data sources they accept and the responses they can provide, however, it's not always as easy to detect what might be "garbage." One of the oldest examples of such manipulated AI systems is the "Google bomb," where people created a particular catchphrase, associated it with something else, and posted the connection around the Internet.