Slides: Shipping Production AI Inside Government — William Tarr, Ministry of Justice

Source Video

Shipping Production AI Inside Government — William Tarr, Ministry of Justice

Relationship To World's Fair 2026

These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

Related Scheduled Sessions

No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

Extracted Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.

Slide text:

About Me

Now

• Forward Deployed Engineer in the Justice AI Unit

• No10 Innovation Fellow – selected from top 0.8% of applicants

• Joined in November, working mainly across prisons

Previously

• Co-Founder @ Tergle (YC W25) – AI for audit automation

• CS + Math @ Harvard

Hidden Non-Slide Evidence

`slide-001.jpg` — speaker_stage confidence 0.99; Stage shot with presenters at podium; projected slide is only partially visible and not readable as a standalone slide.
`slide-003.jpg` — speaker_stage confidence 0.98; Stage shot with people walking in front of the screen; projected slide is cropped and not readable as a standalone presentation slide.

Classification audit: raw/sources/slide-ai-classification/slides/qlHaO6laBlM/audit.json

Slide-Derived Subjects To Review

Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.