<i>In the case of the human personal assistant the governing terms originate with the person being assisted, and so the data and the ways it can be used remain in control of the owner.</i><p>Well, the data and ways it can be used are also in control of the user now, they just all agree to it - even without knowing it in many cases. My question is: how do we talk to consumers to show them the benefits while also informing them of how it works?<p><i>There are ways to keep control with the user, however these require a level of architecture inversion the consumers haven&#x27;t fought for yet.</i><p>I&#x27;d be curious to know how you see this working - especially in the case of providing a benefit from network effects. The benefit from these systems is using the inputs of other people, and those by definition release control.<p>Beyond that case, making each user train their own CNN is an impossible consumer demand. The way facebook does it with face tagging and google does it with number&#x2F;letter recognition, everyone is training the CNN - crowd-sourced neural net training.