Legal technology can identify and correct bias rather than only amplify it
Evidence
Avery and Cooper outline the risk of racial bias in AI and, more specifically, in legal technology, but they also outline how the most promising route forward is to marshal legal technology to identify and correct for bias in the law. β Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law, 36
In this chapter, we have discussed how bias in technology can be a significant problem and how the same is seemingly true of bias in legal technology. However, given the inexorability of human biases, the long history of disparate treatment of racial minorities, and the promise of current legal technology, it makes sense to turn to legal technology to correct for bias in the law. β Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law, 1206
Categorization
- XREF: Connects to the wider literature on algorithmic bias being used to audit and debias institutions rather than only criticized.
- corroborated: 3 independent passages support this claim β Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law: A Definitive Look atβ¦, 36; Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law: A Definitive Look atβ¦, 1206