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TOO MUCH INFORMATION? PRIVACY, RATIONALITY, AND TEMPTATION Katherine J. Strandburg DePaul University College of Law.

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Presentation on theme: "TOO MUCH INFORMATION? PRIVACY, RATIONALITY, AND TEMPTATION Katherine J. Strandburg DePaul University College of Law."— Presentation transcript:

1 TOO MUCH INFORMATION? PRIVACY, RATIONALITY, AND TEMPTATION Katherine J. Strandburg DePaul University College of Law

2 MOTIVATION FOR INFORMATION PRIVACY AUTONOMY AND DIGNITY FOR ME v. FREE FLOW OF INFORMATION FOR YOU (BETTER DECISIONS) ?

3 IS MORE INFORMATION ALWAYS BETTER? SOCIAL NORMS AGAINST DISCLOSING PERSONAL INFORMATION SUGGEST THE ANSWER IS NO WHY DON’T WE WANT TO LEARN EVERYTHING ABOUT EVERYONE?

4 TOO MUCH INFORMATION? TOO MUCH INFORMATION CAN DEGRADE DECISIONMAKING IN 3 WAYS: 1)MORE INFO NOT ALWAYS BETTER IF IT IS MISLEADING (EVEN IF COMPLETELY RATIONAL) 2)BOUNDED RATIONALITY – “MISTAKES” IN ANALYSIS DUE TO LOSS AVERSION, INACCURATE PROBABILITY ASSESSMENT, MENTAL ACCOUNTING 3)LIMITED WILLPOWER – INABILITY TO IGNORE IRRELEVANT INFORMATION (“MORE PREJUDICIAL THAN PROBATIVE”)

5 TOO MUCH INFORMATION? CONCLUSION: CONTROLLING FLOW OF PERSONAL INFORMATION IS A TWO-WAY STREET: BOTH SUBJECTS AND RECIPIENTS MAY BENEFIT FROM PRIVACY BOTH SUBJECTS AND RECIPIENTS CAN BE AFFECTED BY BOUNDED RATIONALITY BOTH SUBJECTS AND RECIPIENTS CAN SUFFER FROM SELF-CONTROL FAILURES

6 IMPLICATIONS for PERSON-TO-PERSON DISCLOSURES SOCIAL NORMS REGULATE INFORMATION BY CONTEXT, “APPROPRIATENESS” (ABILITY TO PROCESS ACCURATELY) PRIVACY TORTS SHOULD DO THE SAME BUT WHAT ABOUT COMPUTERIZED DATA PROCESSING?

7 CAN COMPUTERS HAVE TOO MUCH INFORMATION? WHO DECIDES WHAT INFORMATION TO COLLECT? - Loss aversion of agents - Private rationality v. Social optimality - Time-inconsistent preferences of agents (short term v. long term business goals) - Externalities on subjects of information

8 CAN COMPUTERS HAVE TOO MUCH INFORMATION? WHO DECIDES WHAT THE COMPUTER DOES? - Statistical optimization techniques (such as data mining) rely on human input - What data is “significant” - When are results “significant”, “interesting” - Statistical optimization techniques may be “distracted” into local optima - Categorical choices about “relevance” of information may avoid some pitfalls

9 CAN COMPUTERS HAVE TOO MUCH INFORMATION? WHO ASSESSES THE OUTPUT? -Tendency to over-emphasize the certainty of quantitative output -Tendency to over-emphasize specific output -Tendency to inaccurately interpret statistical output

10 CAN COMPUTERS PROVIDE TOO MUCH INFORMATION? COMPUTERIZED AGGREGATION OF DATA PERMITS TARGETED MARKETING -Targeted provision of information? OR -Targeted persuasion? UNDERMINING STRATEGIC IGNORANCE? ENTRAPMENT?

11 CAN COMPUTERS PROVIDE TOO MUCH INFORMATION? - COMPUTERIZED AGGREGATION OF DATA MOVES INFORMATION BETWEEN SOCIAL GROUPS - INTERFERING WITH SOCIAL NORMS OF APPROPRIATE DISCLOSURE? - NORMS THAT WE PROTECT WITH THE PRIVACY TORTS?

12 CONCLUSION -THE SOCIAL VALUE OF “FREE FLOW OF INFORMATION” PERSONAL INFORMATION MAY BE LESS THAN IT SEEMS -HUMAN COGNITIVE AND WILLPOWER LIMITATIONS SHOULD BE KEPT IN MIND - THE VALUE AND MEANING OF COMPUTERIZED DATA PROCESSING ALSO DEPENDS ON UNDERLYING HUMAN INPUT, ANALYSIS, AND RESPONSE

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