San Francisco  ·  AI Governance & Product  ·  Est. archive, updated 2026

Susannah Shattuck.

Product leader working at the intersection of artificial intelligence and trust — building the tools that help organizations adopt AI responsibly.

Illustrated portrait of Susannah Shattuck — red hair, orange glasses, teal blazer
Fig. 01 — The author, illustrated
Google ✳ Credo AI ✳ Arthur ✳ X, the Moonshot Factory ✳ IBM Watson ✳ Prezi ✳ Stanford GSB ✳ Yale ✳ 
01

About

Susannah Shattuck builds AI products people can trust — and the governance infrastructure that makes that trust possible.

She is currently a product manager at Google, where she owns product strategy for the governance and lifecycle management of critical AI assets: data and models. Before Google, she spent four-plus years as Head of Product at Credo AI, shaping one of the industry's leading AI governance platforms through the arrival of generative AI, the EU AI Act, and the mainstreaming of responsible-AI practice.

Her conviction that AI needs guardrails was earned the practical way. On the IBM Watson implementations team she saw firsthand everything that can go wrong across the machine-learning lifecycle — an experience that led her to product roles building bias-detection tooling at IBM, ML monitoring at Arthur, and AI/ML products at X, the Moonshot Factory (formerly Google X). She started her career at Prezi.

A history major turned technologist, she believes the key to building the future responsibly lies in studying the past. She holds a BA in History from Yale University and an MBA from the Stanford Graduate School of Business, and lives in the San Francisco Bay Area.

02

Writing an index, 2019–2025

  1. 10 Which Models Work Best for Your Enterprise AI Use Case? Introducing Enterprise Model Trust Scores — a data-driven way to match foundation models to enterprise use cases. Credo AI · 2025
  2. 09 Risk in Focus: Before Adopting Open-Source AI What enterprises should put in place before bringing open-source models into production. AiThority · 2024
  3. 08 What Everyone Is Getting Wrong About AI Governance Governance is not a compliance checkbox — it is how organizations unlock AI adoption at scale. Credo AI · 2024
  4. 07 The World's Largest GenAI Risk & Controls Library Announcing an open library mapping generative-AI risks to the controls that mitigate them. Credo AI · 2024
  5. 06 Introducing AI Trust Reports Standardized trust reporting to build confidence between GenAI vendors and enterprise buyers. Credo AI · 2023
  6. 05 Unveiling Transparency Why transparency disclosures are the first step toward responsible AI — introducing AI vendor profiles. Credo AI · 2023
  7. 04 The Best Things I Read About Responsible AI in 2022 A curated reading list from a year of rapid change in the responsible-AI field. Medium · 2022
  8. 03 Our Predictions for Ethical AI in 2022 Where responsible AI was headed — regulation, standards, and operationalization. Credo AI Blog · 2022
  9. 02 5 Things You Should Know If You Want to “Do AI” Hard-won lessons from the field for organizations starting their AI journey. DataDrivenInvestor · 2019
  10. 01 People Don't Trust AI. We Need to Change That. On the AI trust gap — and what it takes to close it. Written from IBM THINK 2019. Towards Data Science · 2019

Full archive → shshattuck.medium.com

03

Talks & Media

Stanford GSB · Talk

Studying the Past to Build the Future

Why responsible innovation might depend on history as much as engineering — from history major to AI product leader.

Compass Tech Summit · 2023

Building Responsible AI in the Age of GPT

Best practices from the field for deploying generative AI responsibly, delivered at Compass Tech Summit.

Lopez Research · Podcast

Responsible AI and Governance

With analyst Maribel Lopez: responsible-AI strategy vs. governance, the EU AI Act, and building plans that work.

Most Innovative
Companies
Fast Company × Atlassian · 2025

How a Fully Remote Team Uses AI to Stay Connected

On distributed teams, connection, and how AI tools are changing collaborative work.

Also seen at

Responsible AI Leadership Summit (San Francisco, 2024) · IBM THINK 2019 — panel on AI fairness & explainability · Guest lectures & STEAM outreach on why everyone should care about AI

04

Contact

Let's talk — about speaking engagements, panels, podcasts, or anything at the intersection of AI & trust.