Excellent - thanks Jeff. Just leaving for SFO to present a paper on Ethical 
Data Handling.


Sent from my iPod

On 14 May 2014, at 15:59, "=JeffH" <jeff.hod...@kingsmountain.com> wrote:

> And, building upon Solove's work, there's this...
> Big Data Ethics
> http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2384174
> Neil M. Richards
> Jonathan H. King
> January 23, 2014
> Wake Forest Law Review, 2014
> Abstract:
> We are on the cusp of a "Big Data" Revolution, in which increasingly large 
> datasets are mined for important predictions and often surprising insights. 
> The predictions and decisions this revolution will enable will transform our 
> society in ways comparable to the Industrial Revolution. We are now at a 
> critical moment; big data uses today will be sticky and will settle both 
> default norms and public notions of what is "no big deal" regarding big data 
> predictions for years to come.
> In this paper, we argue that big data, broadly defined, is producing 
> increased powers of institutional awareness and power that require the 
> development of a Big Data Ethics. We are building a new digital society, and 
> the values we build or fail to build into our new digital structures will 
> define us. Critically, if we fail to balance the human values that we care 
> about, like privacy, confidentiality, transparency, identity and free choice 
> with the compelling uses of big data, our Big Data Society risks abandoning 
> these values for the sake of innovation and expediency.
> In Part I, we trace the origins and rapid growth of the Information 
> Revolution. In Part II, we call for the development of a "Big Data Ethics," a 
> set of four related principles that should govern data flows in our 
> information society, and inform the establishment of big data norms. First, 
> we must recognize "privacy" as an inevitable system of information rules 
> rather than merely secrecy. Second, we must recognize that shared private 
> information can remain "confidential." Third, we must recognize that big data 
> requires transparency. Fourth, we must recognize that big data can compromise 
> identity. In Part III, we suggest how we might integrate big data ethics into 
> our society. Law will be an important part of Big Data Ethics, but so too 
> must the establishment of ethical principles and best practices that guide 
> government, corporations, and users. We must all be part of the conversation, 
> and part of the solution. Big Data Ethics are for everyone.
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