The computing device to receive fewer inputs from a user seeking information to try to correct or rectify an error. It is the first line of this section that could be considered dangerous. The patent suggests that the system allows for “behavior correction” without the end user even needing to know that they are being corrected. Let that sink in for a second: You don't need to know that a Google-controlled system adjusts your actions without your knowledge, based on what it determines you are or should be doing. Before proceeding, there will be references to items in Figure 2. An understanding of these numbers is not necessary for our
purposes here, but may be useful to some, or at least help you know that you are not missing nothing. So, before we continue, here is Figure 2: Figure 2 of the patent: detection and correction of potential errors in user behavior Section 66 The task and needs rule data jewelry retouching service memory 270C comprises one or more previously developed rules on which the prediction module 264 relies to predict a task or an action likely to be executed by a user of a computing device for a current context as well as information that the user may need to accomplish the task.
For example, data memory 270C may store rules of a machine learning or artificial intelligence system of requirements prediction module 264. The requirements prediction module 264 of the machine learning or artificial intelligence system Section 66 is quite simple: the patent states that machine learning and/or AI will be used to determine the most likely tasks performed based on past behavior patterns and to assess them against their impact on the environment. execution of a future task.