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These applications will require to make available essentially all of our personal data to the algorithms, which implies considerable risks -- not just the end of privacy, but also the risk to let ourselves be manipulated and controlled by our algorithms (or by whoever owns them)
Thus the first step to getting AI to realize its full potential in service of humanity is to solve the problem of private & secure personal data mining. Would encryption provide a solution? Should the consumer own the physical hardware where the data is stored and the algo runs?
Getting a solid security & privacy layer *before* we get to building these advanced AI applications is arguably that which will determine whether we end up with an AI utopia or an AI dystopia.
Any open conversations you know of happening on this? Would love, even if through exaggeration, to discuss an AI-PDR and how it factors into consumer protection 
alternatively, what type of skillset would you say would be the best at engaging with and contributing to this conversation? Not being able to draw a line from the layman to the center of this conversation will be deadly in the long term, a strangling obfuscation.
Some of the best things in tech are open source: Wikipedia, Python, etc. Is there a reason superior AI cannot be built in that fashion, without the taint of the rotten ad-click model?
There is an interesting argument that privacy, as you describe it, is probably to the common man a phenomenon of the last couple of hundred years. And possibly as the expectation we have now probably even more recent. Do you think this matters?
The consumer should /totally/ own the hardware for the application area you've outlined IMHO. Even down to circuit designs for FPGAs. Intel mgmt. engine et al. are anti-consumer. Would say mgmt. engine-like tech poses a stumbling block to the application you outline.
no and yes respectively.
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