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Full-Text Articles in Law
“Statistics Are Human Beings With The Tears Wiped Away”: Utilizing Data To Develop Strategies To Reduce The Number Of Native Americans Who Go Missing, Lori Mcpherson, Sarah Blazucki
“Statistics Are Human Beings With The Tears Wiped Away”: Utilizing Data To Develop Strategies To Reduce The Number Of Native Americans Who Go Missing, Lori Mcpherson, Sarah Blazucki
Seattle University Law Review
On New Year’s Eve night, 2019, sixteen-year-old Selena Shelley Faye Not Afraid attended a party in Billings, Montana, about fifty miles west of her home in Hardin, Montana, near the Crow Reservation. A junior at the local high school, she was active in her community. The party carried over until the next day, and she caught a ride back toward home with friends in a van the following afternoon. When the van stopped at an interstate rest stop, Selena got out but never made it back to the van. The friends reported her missing to the police and indicated they …
Problems With Using Statistics To Justify Institutional Policies, Justin Shin
Problems With Using Statistics To Justify Institutional Policies, Justin Shin
Senior Projects Spring 2017
It is becoming increasingly common for institutions to use statistics to inform policy decisions. We should be prepared to ask ourselves what regulatory principles should be imposed on institutions that seek to justify certain policies through deference to a statistical analysis. This paper will examine the difficulties that come with using statistics to justify actions, and argue that certain standards of transparency and verifiability should be expected from any institution that seeks to involve a statistical analysis in the formation of policies. I will first use Market Share Liability, an established use of statistics, to draw out what responsibilities an …
Machine Learning And Law, Harry Surden
Machine Learning And Law, Harry Surden
Publications
This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …
Will Quants Rule The (Legal) World?, Edward K. Cheng
Will Quants Rule The (Legal) World?, Edward K. Cheng
Michigan Law Review
The quants are coming! And they are here to stay-so argues Professor Ian Ayres' in his new book, Super Crunchers, which details the brave new world of statistical prediction and how it has already begun to affect our lives. For years, academic researchers have known about the considerable and at times surprising advantages of statistical models over the considered judgments of experienced clinicians and experts. Today, these models are emerging all over the landscape. Whether the field is wine, baseball, medicine, or consumer relations, they are vying against traditional experts for control over how we make decisions. To be …