Accountability of Algorithmic Systems: How We Can Control What We Can’t Exactly Measure

by Yiannis Kanellopoulos

In this article, Yiannis Kanellopoulos presents a framework for assessing the transparency of an algorithmic system based on the way the system has been implemented and governed in terms of accountability. He recommends establishing and following such an evaluation process as a prerequisite for organizations to deploy an algorithmic decision-making system.

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Accountability of Algorithmic Systems: How We Can Control What We Can’t Exactly Measure is one of eight articles in the report, The Next Frontier in Automation: Opportunities, Challenges, and Impact. Click here for more information. Use Coupon Code AUTO20 to Save 20%.

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