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Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon
Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon
Faculty Scholarship
The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …
Discrimination On Wheels: How Big Data Uses License Plate Surveillance To Put The Brakes On Disadvantaged Drivers, Nicole K. Mcconlogue
Discrimination On Wheels: How Big Data Uses License Plate Surveillance To Put The Brakes On Disadvantaged Drivers, Nicole K. Mcconlogue
Law Faculty Scholarship
As scholarly discourse increasingly raises concerns about the negative societal effects of “fintech,” “dirty data,” and “technochauvinism,” a growing technology provides an instructive illustration of all three of these problems. Surveillance software companies are using automated license plate reader (ALPR) technology to develop predictive analytical tools. In turn, software companies market those tools to auto financers and insurers as a risk assessment input to evaluate consumers seeking to buy a car. Proponents of this technology might argue that more information about consumer travel habits will result in more accurate and individualized risk predictions, potentially increasing vehicle ownership among marginalized groups. …
Discrimination On Wheels: How Big Data Uses License Plate Surveillance To Put The Brakes On Disadvantaged Drivers, Nicole Mcconlogue
Discrimination On Wheels: How Big Data Uses License Plate Surveillance To Put The Brakes On Disadvantaged Drivers, Nicole Mcconlogue
Faculty Scholarship
As scholarly discourse increasingly raises concerns about the negative societal effects of “fintech,” “dirty data,” and “technochauvinism,” a growing technology provides an instructive illustration of all three of these problems. Surveillance software companies are using automated license plate reader (ALPR) technology to develop predictive analytical tools. In turn, software companies market those tools to auto financers and insurers as a risk assessment input to evaluate consumers seeking to buy a car. Proponents of this technology might argue that more in-formation about consumer travel habits will result in more accurate and individualized risk predictions, potentially increasing vehicle ownership among marginalized groups. …