{"title":"Who's Keeping Score?: Oversight of Changing Consumer Credit Infrastructure","authors":"Janine S. Hiller, Lindsay Sain Jones","doi":"10.1111/ablj.12199","DOIUrl":"10.1111/ablj.12199","url":null,"abstract":"<p>Access to credit in the United States is contingent upon an individual obtaining the “right” credit score. Yet the opaque scoring system makes it nearly impossible for an individual to break out of a cycle of low credit ratings and participate in the benefits of the American economy. Partially as a response, alternative credit rating products now use personal nonfinancial data for automated credit decision-making, purportedly intended to expand access to credit. Social media activity, college grades, and even what time of day a person applies for a loan are examples of data points used for this purpose. However, these and other alternative data can be highly correlated with protected traits, such as race and national origin. While extending access to credit equitably across society is an important goal, the cure should not exacerbate the same inequalities that it is designed to address. The necessity of credit for the modern consumer compels continued oversight of the credit infrastructure to ensure fair data practices and to hold participants accountable. This article contends that consumer access to a fair credit score is a necessity, and that the consumer credit infrastructure should be viewed as a modern utility and subject to additional oversight. A proposal is then advanced that establishes fair data duties for credit scoring entities.</p>","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":"59 1","pages":"61-121"},"PeriodicalIF":1.2,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ablj.12199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47055650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forfeiting IP","authors":"Deepa Varadarajan","doi":"10.1111/ablj.12201","DOIUrl":"https://doi.org/10.1111/ablj.12201","url":null,"abstract":"<p>Can IP rights be lost? That is, once IP rights are acquired, what—if anything—must owners do to keep those rights or risk forfeiting them. The answer varies widely across the IP landscape and has important consequences for follow-on innovation, competition, and the public domain. This article takes the first close look at forfeiture mechanisms throughout the five major IP regimes—utility patent, trade secret, copyright, design patent, and trademark. I demonstrate how IP forfeiture mechanisms (e.g., maintenance fees, monitoring obligations, and use requirements) have weakened or narrowed over time. Building on prior scholarship, I also delineate the important functions that IP forfeiture mechanisms serve. By forcing IP owners to decide if the cost and effort of maintaining IP rights are worthwhile, forfeiture mechanisms help eliminate low-value IP rights and enlarge the public domain, benefiting follow-on innovators and society at large. In addition, forfeiture mechanisms serve an important notice or signaling role by forcing owners to engage in acts that inform second comers about the existence and scope of IP rights. These functions are particularly important when it comes to functional or useful subject matter (e.g., innovations that make a product work). Given forfeiture's role and its problematic narrowing across the IP landscape, I suggest the need for reform—particularly in design patent and copyright law, two areas that increasingly cover functional subject matter but lack any forfeiture mechanism.</p>","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":"59 1","pages":"175-226"},"PeriodicalIF":1.2,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71937365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ranking Season: Combating Commercial Banks' Systemic Discrimination of Consumers","authors":"Nizan Geslevich Packin, Srinivas Nippani","doi":"10.1111/ablj.12200","DOIUrl":"https://doi.org/10.1111/ablj.12200","url":null,"abstract":"<p>The recent disbursement of COVID-19 pandemic-related federal relief funds to businesses and individuals under the CARES Act exposed significant problems in the U.S. system of money and payments. U.S. banks' wealth maximization objectives clashed with the federal government's goals of diversity, equity, and inclusion (DEI). The discriminatory, self-interested behavior of banks, which essentially served as the federal government's long arm in these transactions, worsened the pandemic-induced economic crisis for many, especially women and minorities, and intensified racial injustice. The U.S. government's inability in 2020 to successfully execute its stimulus plan and give all its intended recipients the benefits it had designated due to the role played by banks begs the question: Should U.S. banks be subject to any legal obligations when they help the government execute its fiscal goals? This article argues that U.S. banks should help advance the federal government's fiscal policy, including the DEI social agenda, especially during critical junctures such as the economic crisis instigated by COVID-19, and proposes an agency theory approach to mandate the implementation of government social policy goals among commercial banks via a CAMELS rating-like system that includes social goals, such as DEI. This DEI rating system would create public consequences for noncomplying banks, including depositors withdrawing their funds from lower-rated banks and redepositing them in top-rated banks, resulting in higher-rated DEI banks overtaking lower-rated banks. This DEI rating system will also provide an incentive for banks to compete for more diversity and inclusion, which would solve many of the systemic discrimination-related issues that led to economic inequality and intensified the 2020–2021 crisis. Lastly, DEI-based scores could help prevent banks from finding themselves on the losing side of the growing public banking movement in the United States, enabling banks to reposition themselves and avoid future radical changes in the banking industry.</p>","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":"59 1","pages":"123-174"},"PeriodicalIF":1.2,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ablj.12200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71937321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Text Mining for Bias: A Recommendation Letter Experiment","authors":"Charlotte S. Alexander","doi":"10.1111/ablj.12198","DOIUrl":"10.1111/ablj.12198","url":null,"abstract":"<p>This article uses computational text analysis to study the form and content of more than 3000 recommendation letters submitted on behalf of applicants to a major U.S. anesthesiology residency program. The article finds small differences in form and larger differences in content. Women applicants' letters were more likely to contain references to acts of service, for example, whereas men were more likely to be described in terms of their professionalism and technical skills. Some differences persisted when controlling for standardized aptitude test scores, on which women and men scored equally on average, and other applicant and letter-writer characteristics. Even when all explicit gender-identifying language was stripped from the letters, a machine learning algorithm was able to predict applicant gender at a rate better than chance. Gender stereotyped language in recommendation letters may infect the entirety of an employer's hiring or selection process, implicating Title VII of the Civil Rights Act of 1964. Not all gendered language differences were large, however, suggesting that small changes may remedy the problem. The article closes by proposing a computationally driven system that may help employers identify and eradicate bias, while also prompting a rethinking of our gendered, racialized, ableist, ageist, and otherwise stereotyped occupational archetypes.</p>","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":"59 1","pages":"5-59"},"PeriodicalIF":1.2,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49041763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forfeiting\u0000 <scp>IP</scp>","authors":"Deepa Varadarajan","doi":"10.1111/ablj.12201","DOIUrl":"https://doi.org/10.1111/ablj.12201","url":null,"abstract":"","PeriodicalId":54186,"journal":{"name":"American Business Law Journal","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47493432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}