Technology, ethics,
& the human stakes
Exploring how AI systems shape communities, why algorithmic fairness matters, and what it means to build technology that serves humanity rather than extracts from it.
I spent most of my time writing in college
I would be remiss to have them never see the light of day — so here are some of my favorites.
LLMs struggle with complex reasoning and conveying uncertainty. This thesis examines world models as a solution — comparing LeCun's empiricist JEPA with Tenenbaum's nativist probabilistic language of thought.
Download PDFCambridge Analytica harvested 87 million users' data to build 253 predictive algorithms, targeting 'persuadables' with fear-based ads. A case study in how behavioral surplus turns citizens into pawns.
Read essayDrawing on Hellman, Moreau, and Anderson to evaluate why certain forms of algorithmic sorting in hiring are not just discriminatory — but unjust.
Read essayBeth Harmon spent her life using chess as a means to an end — until the final scene, where she plays for no reason at all. A reading of the Queen's Gambit through Camus's revolt against meaninglessness.
Read essayEveryone calls neural networks revolutionary. But applying Kuhn's framework to cognitive science reveals that connectionism hasn't replaced classical computationalism — the paradigm shift is still pending.
Read essayData science falsifies the null to corroborate the alternative. Popper would never. An investigation into whether modern hypothesis testing survives Popper's methodology.
Read essayRousseau says you need the general will to be free, but you need freedom to form the general will. A reconstruction of his argument — and the dilemma at its foundation.
Read essayCohen says wage workers are individually free but collectively unfree. His key analogy is elegant — but it rests on the fickle assumption that most people in the room don't want to leave.
Read essayIf gender is defined by subordination, trans women who aren't perceived as women are excluded from the category entirely. Jenkins proposes that self-identification and class must work together.
Read essayRace works like a recipe: pick a phenotypic trait, assign it to a group, attach negative characteristics, subordinate. The folk concept is more useful for justice than any genetic cluster.
Read essayCan an ethical theory demand sacrifice without motivation? Aristotle says the excellent person will die for their friends — but only because it achieves the fine. Every act circles back to the self.
Read essayFourteen premises, one conclusion: rulers cannot seek their own advantage. A formal reconstruction of the Republic, Book 1 — turning Plato's dialogue into deductive logic.
Read essayA $1.6 billion donation to the Federalist Society. Justices groomed since law school. An originalist majority that overturned Roe, gutted the EPA, and replaced longstanding legal tests — all traceable to the same dark money pipeline.
Read essayAcademic Publications
Research conducted at NYU's Center for Data Science and Information Law Institute, under the supervision of Umang Bhatt and Katherine Strandburg.
A legally informed analysis examining risks of discrimination associated with selective abstention in AI-assisted decision-making. Proposes a framework integrating AI assistance with selective frictions to mitigate risks and enhance fairness.
Contributed to a public repository of real-world AI deployments and oversight patterns, based on interviews with practitioners.
View publicationInvestigating how Retrieval Augmented Generation can modulate the expression of uncertainty in LLM outputs.
View PDFBooks That Shaped My Thinking
I have so many more favorites (Fahrenheit 451, The Book Thief, Tomorrow, and Tomorrow, and Tomorrow, Anna Karenina) but if I had to pick 10, these are the ones I would wholeheartedly recommend — and the ones that brought me out of some pretty bad reading slumps.
Read why I love theseArina Shah
In pursuing two, in my opinion, polar opposite degrees — Philosophy and Data Science — while simultaneously building products and reporting on recent developments in AI, I've come to realize these fields are far less disparate than they appear, and that the most pressing questions in AI demand interdisciplinary effort. I'm interested in how we can innovate responsibly, building trustworthy AI systems that emphasize human-machine collaboration rather than replacement.
My research sits at the intersection of AI and the law. I started by examining GDPR compliance and explainability mechanisms — what ought to be legally required when AI systems make decisions about people, from Medicare determinations to hiring. More recently, I co-authored two papers: one assessing interventions for making AI systems more equitable and proposing a new framework, and another documenting the governance mechanisms that AI enterprises actually use in practice. My honors thesis in philosophy, advised by Ned Block, examined world models as an alternative architecture for AI reasoning.
That same interest in collaboration led me to co-found Fruition. After building a research marketplace to help universities streamline finding relevant research opportunities and make it easier for faculty to sift through applications, I noticed a broader pattern: students wanted to innovate and explore, but not in isolation. That's why we built Fruition — a platform that connects young founders with the right teammates. It also reflects my belief in human-machine collaboration. Matches aren't solely curated by algorithms; we use our own touch working alongside the system to produce the best pairings for our innovators, exploring the psychology of what makes people work well together and allowing them to connect quickly.
Outside of my academic pursuits, I volunteer with Northwest CASA for sexual assault prevention, play golf, box, and dance Kathak. All things considered, I'm a 22-year-old trying to make sense of a world that's changing faster than most of us can keep up with, and doing my best to make sure the people building what comes next are building it thoughtfully. If you're interested in joining Fruition or chatting about any of this, I'm always open to doing that over an oat milk latte 🎀
Fruition is an AI-powered platform I co-founded to connect early-stage entrepreneurs with the right team members.