Mitchell Hamline School of Law
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    Trailblazing and Living a Purposeful Life in the Law: A Dakota Woman\u27s Reflections as a Law Professor

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    This Essay is a reflection from my perspective as a Dakota woman law professor on my fifth law school faculty. In the illuminating work of Meera Deo, light is shone on the experience of women of color legal academics. Unequal Profession: Race and Gender in Legal Academia is a book that should be required reading at every law school. As women of color are faculty members in every law school in the United States, the research, analysis, and recommendations tailored to the experience of women of color law faculty should be a priority topic in those same law schools. As a Native American woman law professor, my experience and journey in legal academia resonate with many of the topics in this important work. In Part I of this Essay, the necessity of trailblazing is discussed due to the lack of Native American women in the legal academy. Issues around visibility, ethnic fraud, and tribal sovereignty will be discussed. Part II will explore the challenges identified in Unequal Profession through a raceXgender framework and provide a personal perspective on dealing with such challenges. The themes of invisibility and lack of respect experienced as a Native American woman law professor will be discussed. The final section in Part III will provide insight into the motivation to stay the course and continue to make space in legal academia. In living a purposeful life, there is a choice to be a law professor as a Native woman with the goal of holding the door open for more Native American faculty, law students, and legal administrators to walk through

    Discrimination on Wheels: How Big Data Uses License Plate Surveillance to Put the Brakes on Disadvantaged Drivers

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    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. Expanding access to cars would go a long way toward undoing the economic suppression of many people who are low-income or of color. However, discrimination in the consumer scoring cycle shows that ALPR-based data analytics will only exacerbate the economic and racial disparities in car ownership. Competing incentives and biased assumptions steer the choices of the humans who collect ALPR data, creating a conflict that irredeemably poisons the data and any consumer access decisions that spring from it. Moreover, using lo-cation data to assess risk means that automobile costs may be based on value judgments about the neighborhoods that consumers visit. Thus, rather than creating an equal path to economic mobility, the tainted ALPR data collection methodology reinforces discrimination. Not only that, but using the data to score consumers risks resuscitating and repackaging the practice of redlining. This article analyzes the fintech model as represented by the use of ALPR technology in auto financing and insurance. Existing commentary surrounding ALPR has focused on ALPR’s privacy and Fourth Amendment implications. While scholars and commentators have been busy examining law enforcement’s engagement with this high-tech surveillance technology, powerful private actors have flown under the radar while subjecting vulnerable consumers to ALPR’s exploitative commercial applications. This article deviates from prior commentary by contemplating ALPR through a consumer law lens. It exposes the ways in which consumer laws have left disadvantaged drivers unprotected. Finally, it advances a number of proposals, including removing geographic inputs from auto access decision making, developing a central base of technological expertise to audit algorithms, and banning commercial use of ALPR

    A Reverent Homage to David Fulton Herr

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    A New Reality: Deepfake Technology and the World Around Us

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    From Langdell to Lab: The Opportunities and Challenges of Experiential Learning in the First Semester

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    Anatomical Diagrams and Dolls: Guidelines for Their Usage in Forensic Interviews and Courts of Law

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    Mitchell Hamline School of Law
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