Supervised learning systems rely upon humans to label the incoming data -- at least to begin with -- in order for the systems to better predict how to classify future input data. Gmail's spam filter is a great example of this. When you label incoming mail as either spam or not spam, you're not only cleaning up your inbox, you're also training Gmail's filter (a machine learning system) to identify what you consider to be spam (or not spam) in the future. According to Tommy, this type of machine learning can be likened to the relationship between a parent and a young child. When a child does something positive they're rewarded.

A Law Firm Just Hired Its First Artificial Intelligence Attorney . While only a portion of the typical attorney's work involves legal research and creation of memoranda of law and tables of authorities, AI Ross can apparently understand natural language queries, perform legal research, and spit out memoranda of law and answers without human intervention. A human lawyer can then evaluate the response, and advise clients accordingly. Will AI lawyers take over the practice, or will they just enhance the ability of the lawyers still working? What if clients decide that the quaility of the work product and the answers of the AI computer give them the option to cut out the middleman?