Postings – LexAI Journal

Positioning the Ethics of Artificial Intelligence: An Opinion Piece

By Sarah Naveed

Artificial intelligence initially deemed a future-building tool is now categorized as an “existential threat” by a “godfather of AI,” Geoffrey Hinton (Brown, 2023). How did a man-made tool become a potential stakeholder in irreversible societal damage? If the purpose of AI is to augment or replicate forms of human intelligence, then is it possible for the same flaws that we possess to be implemented in the consciousness of AI operations?

AI Deepfakes and Free Speech In The Johnny Somali Controversy

By Mia Reffell

In our first LexAI general meeting, we discussed a real-life example of the intersection of artificial intelligence, ethics, and legal struggles through the arrest of the problematic livestreamer Johnny Somali in South Korea. Let’s dive a bit deeper in this case…

The New Semester with AI: Impacts on Writing, Learning, and Well-Being

By: Grace Blumell, Chaewon Kang, Ava Karimy, and Mia Rodrigo

With the start of the school year and assignments slowly piling up, many students turn to AI for support, whether for summarizing, researching, writing, automating tasks, or even as a companion and source of advice. But how is this shaping the way we learn, write, and take care of our well-being? Members of the LexAI Research Team explore these questions in this journal entry…

If AI Broke Education, Can We Fix It?: Reconstructing Learning through AGI “Robin Hoodism”

By: Lucie Kapustynski, Zainab Khalil, Clara Lee, Lewon Lee, Sarah Naveed, and Lali Sreemuntoo

A psychology professor at the University of Toronto Scarborough and Director of the Advanced Learning Technologies Lab, Steve Joordens, has been exploring the possibility of artificial intelligence (AI) office hour agents to enhance learning…

The EU AI Act and the New Era of Accountable Innovation

By: Chaewon Kang

The European Union has created the world’s first comprehensive legal framework for artificial intelligence, one that will likely reshape how innovation is governed not only within Europe but globally. Entered into force in 2024, the EU Artificial Intelligence Act represents an unprecedented attempt to regulate AI through a risk-based approach, embedding accountability, transparency, and human oversight into law…

Silicon Valley’s ‘Tech Bros’ as Military Generals: The Implications of AI-Militarization on the Global Stage

By: Sarah Naveed

Military institutions have historically operated within the framework of international politics that centers on sovereignty, state actors, and treaties. Modernization suggests a new element that has encompassed military thinking and operations, and that is the implementation of technology…

The AI Colleague: Rethinking the Legal Profession for the Next Generation

By: Lucie Kapustynski, Zainab Khalil, Clara Lee, Lewon Lee, Sarah Naveed, and Lali Sreemuntoo

Generative Artificial Intelligence is poised to transform the legal field by addressing the gap between law school and real-world practice. To explore this idea, Sarah Naveed, the student-founder and president of LexAI, met with Dr. Megan Ma, Executive Director of the Stanford Legal Innovation, who is investigating parallels between legal practice and other professional fields to design AI tools that enhance experiential learning…

The Future of Creativity and Ownership, Humans and AI: Where Do They End and Begin?

By: Mia Rodrigo

Artificial Intelligence (AI) continues to impress and expand its capacities across numerous domains, as observed in healthcare, education assistance, administrative roles, software development and public administration, with access to its tools anticipated to supplement human labour and efforts that contribute to a society’s functionality…

When Evidence Becomes Synthetic: Admissibility, Authentication, and the Legal Crisis of AI-Generated Proof

By: Maxime Durand

Artificial intelligence has transformed evidence from a record of reality into a performance of plausibility. Images, audio, video, and text can now be generated with a level of realism that rivals traditional documentary records while lacking any causal relationship to the events they claim to depict. This shift destabilizes the doctrinal foundations of evidentiary law, particularly the doctrines of authentication and admissibility that determine whether proof may enter the courtroom…

Hidden in Plain Sight: the Effect of AI on Marginalized Communities and the Global South

By: Zainab Khalil, Clara Lee, Lewon Lee, and Lali Sreemuntoo

For decades, policing has been at the centre of racialized crime through the disproportionate subjecting of racialized communities to surveillance, stops, and enforcement. In recent years, AI has been introduced into policing practices in efforts of serving as a neutral tool designed to improve efficiency, objectivity, and public safety. However, AI has failed to eradicate bias and instead continues to reinforce existing racial inequalities entrenched in our criminal justice system—particularly affecting marginalized communities that are already subject to heightened criminalization….

When Machines Follow Rules But Not The Point: Inside The AI Alignment Problem

By: Lucie Kapustynski, Taimoor Khawaja, and Ilyass Mofaddel

When something reminds us of certain of our attributes, we immediately give other of our attributes to it as well. That is why many spiritual traditions pray to totems or believe that every living thing has a spirit. Rain or the moon would also have tempers, hands, and desires like us, and would want offerings of food or clothing, like us. Many of us did the same thing when we were children. Have you ever looked at a cloud and thought it looked like a face? Or perhaps you once had a Tamagotchi as your best friend?…

Cap-and-Trade, or Capital and Trade-Off?: California’s Climate Law in the Age of Artificial Intelligence

By: Sophia Santa Ana

In recent years, California has climbed its way into a position as a global model for progressive climate governance. With legislation like the Global Warming Solutions Act (AB 32), an expansive cap-and-trade program, and ambitious net-zero targets, the state is celebrated as a leader in the legal transition to a more sustainable economy, so much so that it has become integral to their political identity…

Protecting Likeness in the Age of AI: Denmark’s Response to Deepfakes

By: Lucie Kapustynski, Taimoor Khawaja, Ilyass Mofaddel, and Sarah Naveed

Denmark is responding to the challenges of artificially-generated deepfakes with a proposed change to its national copyright law. This proposition seeks to address the growing harms of deepfakes by granting individuals legal control over the digital use of their likeness: body, voice, and other personal characteristics (Karttunen, 2026)…

Systems Thinking: The Effect of AI Data Collection on the Environment and Communities

By: Zainab Khalil, Clara, Lee, Lewon Lee, and Lali Sreemuntoo

Discourse surrounding artificial Intelligence (AI) often focuses on innovation, economic growth, and risks. This usually ignores that AI is a materially intensive system that depends on water, energy and physical infrastructure to run…

AI and Admissions: Examining the LSAT in the Age of Artificial Intelligence

By: Grace Blumell

A few weeks ago, I received an email explaining that beginning in August 2026, almost all LSAT exams will take place in person, with exceptions for medical accommodations (Krinsky 2026). I was quite surprised by this announcement, because I had planned on taking the LSAT in August digitally and will now do so in a testing center. The digitally formatted testing was a result of the global pandemic in 2020, so since the reversion to the original testing method did not occur until 2026, I assumed AI was the largest contributing factor…

AI, Authorship and the Changing Face of Banking

By: Zainab Khalil, Clara Lee, Lewon Lee, and Lali Sreemeuntoo

Recently, I had the opportunity to attend discussions on the banking and accounting industries. Across two different conversations in two different financial contexts, a theme kept emerging: the shift in how Large Language Models are becoming integrated into everyday financial operations, shaping how people interact with money…