And, building upon Solove's work, there's this...
Big Data Ethics
Neil M. Richards
Jonathan H. King
January 23, 2014
Wake Forest Law Review, 2014
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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