Quick, concise Axios video that describes algorithmic bias, how and why human bias ends up in systems used for hiring and criminal justice among other
A study on the discriminatory impact of algorithms in pre-trial bail decisions.
Dartmouth professor Dr. Hany Farid reverse engineers the inherent dangers and potential biases of recommendations engines built to mete out justice in today’s criminal justice
Whilst some believe AI will increase police and sentencing objectivity, others fear it will exacerbate bias. For example, the over-policing of minority communities in the
A study on the discriminatory impact of algorithms in pre-trial bail decisions.
Analysis of five state-of-the-art automated speech recognition (ASR) systems—developed by Amazon, Apple, Google, IBM, and Microsoft—to transcribe structured interviews conducted with white and black speakers.
This article highlights the benefits of artificial intelligence in adjudication and making law in terms of improving accuracy, reducing human biases and enhancing governmental efficiency.
The current use of AI in reviewing documents, predicting outcome of cases and predicting success rates for lawyers. This article highlights concerns about fallibility and
A article on how AI can be used in adjudication and law in general. It highlights that although AI has vast potential, there is not
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