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Accountable Algorithms: Reflections

Reflections from D&S Affiliate Solon Barocas and Advisors Edward W. Felten and Joel Reidenberg on the recent “Unlocking the Black Box” Conference held on April 2 at Yale Law School:

Our work on accountable algorithms shows that transparency alone is not enough: we must have transparency of the right information about how a system works. Both transparency and the evaluation of computer systems as inscrutable black boxes, against which we can only test the relationship of inputs and outputs, both fail on their own to effect even the most basic procedural safeguards for automated decision making. And without a notion of procedural regularity on which to base analysis, it is fruitless to inquire as to a computer system’s fairness or compliance with norms of law, politics, or social acceptability. Fortunately, the tools of computer science provide the necessary means to build computer systems that are fully accountable. Both transparency and black-box testing play a part, but if we are to have accountable algorithms, we must design for this goal from the ground up.


Joshua A. Kroll
Joanna Huey
Solon Barocas
@S010N  
Edward W. Felten
@EdFelten  
Joel Reidenberg
@jreidenberg  
David G. Robinson
Harlan Yu

Apr 05, 2016

Read at Balkinization Blog