Another excellent discussion in class and there was, if not the perfect consensus, at least growing one that data-use regulation was crucial to prevent the spread of hate / fear speech, misinformation and manipulation.
While, a comprehensive regulatory framework would indeed be complex here are a few experimental aspects of it that we can discuss:
1. NO INDIVIDUALIZED DATA RETENTION: The default is that no data will be retained by any party about an individual. Retention of data would require either an exception being granted under law (For instance details of credit card transactions for 52 weeks or health data to provide continuity in care) or under explicit instructions initiated by an individual (Please retain my shipping address or my frequent flyer number).
2. ALL NON-INDIVIDUALIZED DATA SETS MUST BE HELD AS A PUBLIC GOOD WITH A REVENUE MODEL: And yet, We understand and agree that big data is indeed valuable for continuous growth of productivity. Therefore all data can and must be retained in fully anonymized form as a public good. This data must be available to all to develop their autonomous cars or fraud detection systems or better and better language processing systems etc etc. That is anonymous data must be made available through a public infrastructure through a tiered fee. The revenue generated must go into a public pool for citizens welfare activity, especially municipal broadband etc.
3. MISINFORMATION/HATE/FEAR SPEECH WILL ATTRACT DAMAGES: The law must create a fully transparent misinformation / hate / fear speech reporting system with high standards for evidence and any misinformation/ hate speech that is not removed by the platform will attract fines and other damages.
As I noted about these are merely experimental elements of a broader framework that is required. Your thoughts and responses and of course a free wheeling discussion.
LLETS TAKE THIS INTO MONDAY!
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