What do you see as the biggest challenge in 50 years from now?  
 

First, I think that retention schedules will be a thing of the past.  Keep everything will be the case with digital records.  The courts will have to make rulings about discovery where everything is kept forever.  That is fixed time periods for discovery will need to be established to prevent "everything" from all past time to be open to discovery for any time certain litigation.  That's clumsy but I hope you get the idea.  The MAJOR problem I think is going to be the authenticity of whatever the "record(s)" is or are.  Goggle, for instance, now has a product (App?) called Vision which allows one to manipulate images to create a new "record" from an existing file of images.  At the University of Arizona our Public Media is presenting a program tonight called "Beyond the Mirage: The Future of water in the West".  Under the Google Vision App one can go to the stored digital video and become your own program producer/editor and make an entirely new program using whatever stack of sections of the existing video in whatever order you wish.  One can change emphasis, sequence, theme, etc.  One could probably intersperse digital images, audio, or whatever from other sources to completely rewrite the existing program or create another.  The problems for copyright ought to keep an entire generation of lawyers busy for years.  If one can now manipulate visual images (one could take, say, your  image from Facebook and put you in a porno movie) why won't we be able to take static digital (text) images and cut and paste to seamlessly create a new document for whatever purpose we are trying to achieve.
I haven't carried these thoughts completely through but at first guess this is going to mean that every record or document or digital image is going to require an immutable water mark or hash or something that guarantees this is the original record.  Encryption at all levels will be even more demanding.  You bright folks can carry this scenario forward yourselves but you get the drift.
Oh, by the way, machine learning in the area of facial recognition has gone much further than perhaps you may know.  Google also has a, I believe, a facial recognition App that allows one to teach the App faces or objects.  That is, one can identify a face in ones stored phone photos and say Fred's face.  Now one can, through facial recognition, bring up every photo in storage in which Fred's face appears.  If you have a digital camera set up in your favorite deer hunting area one can use the "facial" recognition, after you teach it "deer", to sort through hours of digital images to see how many deer and what kind come through your hunting area.  Of course if someone is interested in your behavior they can teach the machine your face and have it scan millions of digital images from surveillance footage.  But see above for manipulation of digital images (were you REALLY there?).
Interesting times ahead for the profession and our private lives.  The hard and fast intersection between RM and IT is probably going to be much more meaningful than, the perhaps necessary, discussion of information governance.  Dick King, University of Arizona.

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