Data & Society > our work > op-ed > How to Hold Algorithms Accountable

MIT Technology Review | 11.17.16

How to Hold Algorithms Accountable

Nicholas Diakopoulos, Sorelle Friedler

D&S affiliate Sorelle Friedler, with Nicholas Diakopoulos, discuss five principles to hold algorithmic systems accountable.

Recent investigations show that risk assessment algorithms can be racially biased, generating scores that, when wrong, more often incorrectly classify black defendants as high risk. These results have generated considerable controversy. Given the literally life-altering nature of these algorithmic decisions, they should receive careful attention and be held accountable for negative consequences.

Subscribe to the Data & Society newsletter

Twitter |  Facebook  |  Medium  | RSS

Reporters and media:
[email protected]

General inquiries:
[email protected]

Unless otherwise noted this site and its contents are licensed under a Creative Commons Attribution 3.0 Unported license.  |  Privacy policy