TrustCon 2026 · Workshop · 120 minutes

Engineering Traceability:
Mapping AI safety policies to system-wide evaluations.

Presented by Shalaleh Rismani & Renee Shelby

Tuesday, July 21 2026 · 3:00–5:00 PM PT
Pacific Concourse M

AI safety policies often look comprehensive on paper, but how clearly are they mapped to concrete evaluation practices? In this workshop, cross-functional groups draw a control structure of who operationalizes one real policy, identify where policy-to-evaluation gaps live, and brainstorm the research questions and tools needed to close them.

Abstract

Consider: a company commits to mitigating targeted harassment. Three teams — Trust & Safety, fairness research, and red teaming — are each responsible for operationalizing this commitment. Yet none of their evaluations trace directly to the policy's harm definitions, and results rarely feed back into deployment decisions.

This gap is increasingly prevalent for AI-centric products. Unlike traditional software, AI systems produce emergent behaviors difficult to anticipate in policy language and harder to capture with static evaluations. The result is a sociotechnical gap: safety policies describe intentions, while evaluation pipelines operate on different assumptions, owned by different teams, with limited traceability between them.

Using a system safety lens, participants work in cross-functional groups to (1) draw the control structure that operationalizes a real policy commitment, (2) identify where policy-to-evaluation gaps live, and (3) generate the research questions and tools that could close them.

Agenda

  1. 010–30 min

    Introduction & talk

    Shalaleh & Renee

    Welcome and overview; state of policy and evaluations (Renee); control-structure terminology with a quick worked example (Shalaleh); Q&A.

  2. 0230–65 min

    Activity 1 — Connecting policy to evaluations

    Shalaleh

    Groups identify stakeholders and draw the control structure for the policy on their table (worksheet steps 1–4).

  3. 0365–100 min

    Activity 2 — Identifying & resolving gaps

    Renee

    Groups locate policy-to-evaluation gaps, brainstorm ways to close them, and name the research questions or tools that would help (worksheet steps 5–8).

  4. 04100–120 min

    Share back & debrief

    Shalaleh & Renee

    Groups share their control structure and one gap-closing strategy or research question they surfaced; connect findings, share next steps, and conclude.

What each activity produces

Activity 1 · 35 min

Connecting policy to evaluations

Groups work through steps 1–4 of the worksheet: identify the actors, establish power dynamics, and map control actions and feedback into a drawn control structure.

Activity 2 · 35 min

Identifying & resolving gaps

Groups work through steps 5–8: connect evaluations back to the policy, name the gaps, prioritize them, and propose closures — including research questions and tools that would help.

The worksheet, at a glance

The full 8-step map groups take through in the room — from choosing a policy to closing evaluation gaps.

Overview of the 8-step control structure worksheet.Open full image in a new tab ↗

Who this is for

Trust & Safety leaders, operations managers, policy professionals, ML engineers, evaluation researchers, and product managers working on AI systems — especially those responsible for implementing or overseeing safety policies who need greater clarity on how those commitments translate into technical and operational controls.

Ready to map?

The worksheet works offline. Your draft saves locally and you can export to Markdown or print as PDF.

Open worksheet →