Philosophy · AI Ethics · AI Alignment · Policy

Jacqueline Ambrose
JA

Jacqueline
Ambrose

Thinking carefully about the development of moral AI systems — what it looks like, what the process entails, and what it means for the world.

About me Read my writing ↗

About

I studied philosophy at the University of Michigan, where I became preoccupied with a question that is no longer theoretical: when we build AI systems, whose values get encoded into them — and how? That question sits at the intersection of everything I care about: ethical reasoning, technology policy, and precise writing on complex problems. Right now I'm building financial fluency and sharpening my risk analysis skills at Gregory J. Schwartz & Co., while actively pursuing roles in AI ethics, data governance, and policy.

Experience

2026 — Present

Gregory J. Schwartz & Co.

Investment Advisory Intern

Attend client meetings alongside one principal to review financial health and portfolio strategy; document key takeaways and action items; working toward securities licensing (SIE, Series 63/65).

2019 — Present

Specialtees Birmingham

Marketing & Sales Manager

Oversee sales strategy and marketing campaigns across several channels — Instagram, Facebook, Snapchat, and Shopify; grew following from 100 to 1,500 (1,400% growth) over seven years; generate $10k+ in annual revenue.

2023 — 2024

The Michigan Daily ↗

News Journalist

Researched and reported on complex topics spanning emerging technology, medical advancements, cryptocurrency, and more; interviewed subject-matter experts, community members, and students; authored articles translating technical subject matter for the general public.

2022 — 2026

University of Michigan

B.A. Philosophy

GPA: 3.89  ·  James B. Angell Scholar

Ann Arbor, MI

I write about AI ethics, value alignment, and the policy questions that matter most as AI becomes infrastructural. Subscribe on Substack to follow along.

Whose values does a language model reflect?

On RLHF, constitutional AI, and the choices that get made before a model ever reaches a user.

The governance gap in generative AI

Existing frameworks weren't built for systems that can reason. What does meaningful AI governance actually look like?

Moral reasoning as a design problem

If we're building machines that make ethical judgments, we need to be honest about the philosophy we're encoding.

The race no one wants to win

Why the collective action problem at the heart of AI development means that one actor's unsafe choice can force everyone else's hand — and what that demands of regulators and developers alike.

Read on Substack ↗