AI systems are biased, and cloud availability makes it worse
According to Gartner Research, from now until the year 2022, 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms, or the teams responsible for managing them. This bias is something I've known for a while as I followed AI systems from the late 1980s. The fact of the matter is that people program and teach AI systems, so those AI systems will tend to have the innate biases of the people who teach them. The use of the cloud to host pricey AI systems is actually making things worse, because the number of companies that can afford AI has gone up but the number of people with solid AI skills has not grown at the same pace. So, in addition to that innate bias being in AI tools used more broadly, the lack of talent also means more mistakes in how the knowledge-bases are built are going to be common for some time.
Apr-5-2019, 15:09:15 GMT