The New England Political Science Association (NEPSA) met at Bretton Woods, N.H., late last month.
I always look forward to the NEPSA meeting, as political scientists are just about the warmest crowd of academics I know. No other kind of social scientist so eagerly shares knowledge as the political scientist, who similarly embraces interdisciplinary feedback, even from a non-PhD such as me.
True, political scientists can and do argue about anything. They put law professors to shame in that regard. You make a mistake of parliamentary procedure at the political science business meeting at your peril.
But only the political scientist compromises her or his confident disputation with a wink of the eye that acknowledges the house of cards we've built around ourselves. You won't find that kind of concession in the grim gaze of an economist.
I saw a great many fabulous papers as always at NEPSA, and I had the privilege of chairing and discussing the papers on a compelling panel on law and public policy on April 26. The panel comprised Dr. Ihsan Alkhatib, Murray State University; the Hon. Sarada Prasad Nayak, UMass Amherst; and attorney Nicole Norval, Eastern Connecticut State University.
All of the panelists, like me, are recovering lawyers. Dr. Alkhatib practiced family law and immigration law for a decade in the Detroit area, representing mostly Arab- and Muslim-American clients. Nayak was a judge in various capacities, including family court, in Odisha State, south of Kolkata, in India for 30 years, before moving to the United States for a new pursuit in academics. Norval was a real estate attorney in South Africa before she left to trot the globe as a tech exec, reg counsel, and business law professor.
In the projects presented, Dr. Alkhatib is studying U.S. immigration law, and in particular the awful consequences of failing to recognize violence against women expressly as a basis for asylum. Judge Nayak, with co-author Dr. Paul Collins Jr. at UMass Amherst, is poring over an extraordinary database of cases in India to understand religious and gender biases in judicial decision-making, with transnational implications. And attorney Norval, with co-author Sameer Somal, CEO of Blue Ocean Global Technology, is looking at the potential for AI to detect and police corruption in business and finance, testing real tech on models such as FIFA and FTX, with promising results.
These authors' paper abstracts are copied below. The full 2025 NEPSA conference program with abstracts is available for a limited time here.
The NEPSA conference was stewarded as usual by the incomparable Dr. Steven Lichtman, Shippensburg University, a friend who never fails to inspire me with his teaching and in his clear-eyed commitment to supporting colleagues and developing academic talent.
Here on The Savory Tort this coming Monday, May 12, 2025, I will write about Bretton Woods as the location of the founding of the International Monetary Fund, and how that history has come up lately in our politically tumultuous times. Stay tuned.
Ihsan Alkhatib, Murray State University
Gender in Immigration Court: Orientalism on Trial
There are five grounds for asylum. Gender is not one of them. Gender however comes up under the grounds of Particular Social Group. Two approaches to gender claims from the Arab world are presented and compared. I argue that one approach is grounded in Orientalism and perpetuates Islamophobia. The second approach is is grounded in a global view of gender and is more accurate representation of gender reality. Immigration lawyers are bound by Rules of Ethics. Advocacy grounded in the second approach is more consistent with the ethical obligations of lawyers.
Sarada Prasad Nayak, University of Massachusetts - Amherst
Case Backlogs and Bias in Timely Justice Delivery in the Indian Judiciary
Understanding bias in the judicial decision-making process is crucial for ensuring fairness and justice in the legal system. To date, scholarship on judicial bias focuses overwhelmingly on the American legal system, focusing on case outcomes or judges’ voting behavior. In this paper, we shift the focus outside of the U.S. and beyond case outcomes. To do this, we examine judicial delays in India, where prolonged legal processes often serve as a form of punishment. We theorize that bias may infiltrate the amount of time it takes to dispose of cases based on the gender and religion of the judge who is assigned the case, as well as those of the defendants. To subject these expectations to empirical scrutiny, we analyze hundreds of thousands of criminal cases decided in India’s lower courts. Our results indicate that Muslim defendants experience shorter delays when their cases are heard by Muslim judges, providing evidence of in-group bias. However, there do not appear to be differences in the timing of case outcomes based on the defendant or judge gender. This study contributes to the literature by highlighting how judicial delays in less developed countries may reflect subtle forms of bias, mainly along religious lines.
Nicole Norval, Eastern Connecticut State University
Can AI Reduce Business Corruption - and Prevent Another FIFA … Another FTX?
Regulators consider artificial intelligence (‘AI’) an inevitable tool for compliance with regulations such as anti-corruption laws. How should we regulate AI to improve regulatory compliance without sacrificing the right to privacy? Can we regulate AI to prevent corrupt business practices and improve human rights outcomes? Unifying existing and forthcoming AI regulation in multiple jurisdictions (primarily the United States and the European Union) in a matrix of business corruption reforms, results in a useful legal model. This paper concludes by applying the model to the decades-long Fédération Internationale de Football Association (FIFA) corruption scandal and the recent FTX cryptocurrency exchange bankruptcy to understand the benefits and limitations of this legal framework. We examine why AI is an inevitable tool for regulatory compliance, comparing, AI regulation, guidelines, and recommended practices in the United States, the European Union, and other jurisdictions, in order to extract common objectives of AI regulation such as protecting privacy rights and improving human rights outcomes. We discuss business corruption reforms in general, focusing on the financial services sector as a business sector crucial for such reform initiatives. Integrating these financial services sector reforms with common AI regulation objectives, we construct a legal model for application to business corruption events. We apply this legal model to two business corruption events with significant negative financial impact in order to establish whether the use of AI to identify business corruption signifiers would have reduced these negative financial impacts, protected privacy rights, and improved human rights outcomes. We conclude by identifying limitations and benefits of our legal model for future improvement, examining the moral imperative and impact of this research, and identifying further areas of research.
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