Social and Behavioral Sciences Commons^™

The Tragic Costs Of ‘Protecting’ Trans Youth, Kimberly Jade Norwood, Jaimie Hileman

Scholarship@WashULaw

In the past few decades, our nation has made substantial progress on the rights of LGBTQ+ people. The legalization of gay marriage in Obergefell v. Hodges in 2015 was transformative for our nation. Just five years later, another huge victory was scored in Bostock v. Clayton County, Georgia, when the U.S. Supreme Court ruled that Title VII of the Civil Rights Act of 1964 protected gay and transgender people.

With every gain, backlash often follows. Three years after Bostock, a tsunami of anti-LGBTQ+ bills, and more specifically, anti-Trans bills, littered the nation. Hundreds of bills have been filed since Bostock, …

Race-Aware Algorithms: Fairness, Nondiscrimination And Affirmative Action, Pauline T. Kim

Scholarship@WashULaw

The growing use of predictive algorithms is increasing concerns that they may discriminate, but mitigating or removing bias requires designers to be aware of protected characteristics and take them into account. If they do so, however, will those efforts be considered a form of discrimination? Put concretely, if model-builders take race into account to prevent racial bias against Black people, have they then engaged in discrimination against white people? Some scholars assume so and seek to justify those practices under existing affirmative action doctrine. By invoking the Court’s affirmative action jurisprudence, however, they implicitly assume that these practices entail discrimination …

Ai And Inequality, Pauline Kim

Scholarship@WashULaw

This Chapter examines the social consequences of artificial intelligence (AI) when it is used to make predictions about people in contexts like employment, housing and criminal law enforcement. Observers have noted the potential for erroneous or arbitrary decisions about individuals; however, the growing use of predictive AI also threatens broader social harms. In particular, these technologies risk increasing inequality by reproducing or exacerbating the marginalization of historically disadvantaged groups, and by reinforcing power hierarchies that contribute to economic inequality. Using the employment context as the primary example, this Chapter explains how AI-powered tools that are used to recruit, hire and …

Racial And Ethnic Disparities In Housing Instability During The Covid-19 Pandemic, Yung Chun, Stephen Roll, Selina Miller, Hedwig Lee, Savannah Larimore, Michal Grinstein-Weiss

Social Policy Institute Research

Stable and adequate housing is critical in the midst of a pandemic; without housing, individuals and families cannot shelter in place to prevent the spread of disease. Understanding and combating housing hardships in vulnerable populations is therefore essential to a sound public health response. This study aims to explore the pandemic’s disproportionate impacts on housing-related hardships across racial/ethnic groups in the United States as well as the extent to which these disparities are mediated by households’ broader economic circumstances; namely, their pre-pandemic liquid asset levels and the experience of COVID-19-related job and income losses. Using a national survey of over …

Virtual Access: A New Framework For Disability And Human Flourishing In An Online World, John D. Inazu, Johanna Smith

Scholarship@WashULaw

While many commentators have noted the wealth and class disparities that emerge from the digital divide, disability adds another important lens through which to consider questions of access and equity. Online accessibility for disabled people has fallen prey to the same assumptions and impediments that led to the Americans with Disabilities Act (“ADA”) addressing disability access in the offline world. Addressing these shortcomings requires a significant conceptual shift in our understanding of “access,” even among disabled people. Offline, the sidewalk or doorway hindered access to those who needed assistance walking or moving. Today’s virtual sidewalks and doorways complicate access in …

Manipulating Opportunity, Pauline Kim

Scholarship@WashULaw

Concerns about online manipulation have centered on fears about undermining the autonomy of consumers and citizens. What has been overlooked is the risk that the same techniques of personalizing information online can also threaten equality. When predictive algorithms are used to allocate information about opportunities like employment, housing, and credit, they can reproduce past patterns of discrimination and exclusion in these markets. This Article explores these issues by focusing on the labor market, which is increasingly dominated by tech intermediaries. These platforms rely on predictive algorithms to distribute information about job openings, match job seekers with hiring firms, or recruit …

Healing Policies For Black Boys And Young Men In St. Louis: Priorities In 2019, Sean Joe, Robert Motley, Alexandra Ivory, Alyssa Finner, Janet Frederick

Center for Social Development Research

What policy reforms are needed to remove the structural barriers that make it difficult for Black boys and young men to thrive in St. Louis?

Presenting findings from research with social service providers, this Brief Report from the Race and Opportunity Lab’s HomeGrown STL project seeks to inform policy decisions, advocacy efforts, and collective impact strategies in order to improve outcomes for Black boys and young men in the St. Louis region.

Auditing Algorithms For Discrimination, Pauline Kim

Scholarship@WashULaw

This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective in ensuring the fairness of algorithms than insisting on transparency. When it comes to combating discrimination, technical tools alone will not be able to prevent discriminatory outcomes. Because the causes of bias often lie, not in the code, but in broader social processes, techniques like randomization or predefining constraints on the decision-process cannot guarantee the absence of bias. Even the most carefully designed systems may inadvertently encode preexisting prejudices or reflect structural bias. For this …

Tax Abatement In Saint Louis: Reforms Could Foster Equitable Development, Claire Dewind, Jennifer Dickey, Ellen O'Neill, Molly W. Metzger

Center for Social Development Research

Across the United States, municipal governments use tax abatement in various ways to incentivize development and revitalize urban areas. In Saint Louis, historical housing trends related to deindustrialization, redlining, and “white flight” led to the City’s depopulation, creating the current need to incentivize development. However, in certain neighborhoods, development now occurs without tax abatement, and some homeowners and developers receive tax abatement despite being able to afford paying taxes. This points to a need to understand where and when tax abatement is necessary, and whether it is being used effectively. In this brief, we ask the following questions: (1) Does …

Electronic Privacy And Employee Speech, Pauline Kim

Scholarship@WashULaw

The boundary between work and private life is blurring as a result of changes in the organization of work and advances in technology. Current privacy law is ill-equipped to address these changes and as a result, employees’ privacy in their electronic communications is only weakly protected from employer scrutiny. At the same time, the law increasingly protects certain socially valued forms of employee speech. In particular, collective speech, speech that enforces workplace regulations and speech that deters or reports employer wrong-doing are explicitly protected by law from employer reprisals. These two developments — weak protection of employee privacy and increased …

Regulating The Use Of Genetic Information: Perspective From The U.S. Experience, Pauline Kim

Scholarship@WashULaw

This essay comments on an empirical study documenting the policies, practices, and attitudes of Australian employers regarding the use of genetic information from the U.S. perspective. The U.S. Congress recently enacted the Genetic Information Nondiscrimination Act of 2008 (GINA), which, among other things, prohibits employment discrimination on the basis of genetic information and restricts employers’ access to their employees’ genetic information. Just as the Australian study found no evidence of systematic use of genetic testing or screening by employers, GINA was passed in the absence of any evidence of widespread employment discrimination on the basis of genetic characteristics. Although it …