Algorithms become the arbiters of determinations about individuals (e.g. government benefits, granting licenses, pre-sentencing and sentencing, granting parole). Whilst AI tools may be used to mitigate human biases and for speed and lower costs of trials, there is evidence that it may enforce biases by using characteristics such as postcode or social economic level as a proxy for ethnicity.
The use of commercial AI tools such speech recognition – which have been shown to be less reliable for non-white speakers – can actively harm some groups when criminal justice agencies use them to transcribe courtroom proceedings.
When it comes to decision making, it might seem that computers are less biased than humans. But algorithms can be just as biased as the people who create the… 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 things.
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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 past has generated a disproportionate number of crimes in some areas, which are passed to algorithms, which in turn reinforce over-policing.
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The impact of AI on litigation. 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 the need of human oversight.
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We examine the impact of artificial intelligence on the UK’s legal sector
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Law Society partner and equity crowdfunding platfrom Seedrs explains how developments within AI are taking law firms and solicitors to the next level. 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 a broad adoption so far.
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