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Stuart Russell Joins The Information's AI Deep Dive for Episode on Obedience and Alignment

October 5, 2026 at 14:31 EDT

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The Information scheduled the fourth episode of AI Deep Dive for Monday, October 5, 2026, with UC Berkeley computer scientist Stuart Russell and host Rocket Drew, centering the episode on a deceptively simple question: can an AI system follow instructions and still fail its users? The session is set for 12 p.m. PT / 3 p.m. ET and puts alignment, not model speed or product features, at the center of the week's AI-agents debate.

Oct. 5, 2026 | AI alignment

Obedience Is Not Alignment

A new AI Deep Dive episode puts Stuart Russell's core question in front of agent builders: when should a system follow orders, and when should it stop to infer what people actually want?

Series count

Episode 4

Live window

12 / 3

p.m. PT / ET

Russell frame

beneficial-AI principles

Attack test

50%

worked in one reported test

A 50% prompt-injection result, drawn to scale

Each segment equals 10 percentage points. Colored blocks show the share that worked in the reported test.

50%

The number underscores why the debate has moved from polite instruction-following to enforced authority and containment.

From order to outcome

Human intent

Literal instruction

Preference check

Authorized action

Why builders like it

The frame turns alignment into concrete controls: scoped tools, approval points, uncertainty checks and action logs.

Why it is hard

Too many interruptions erase usefulness; too few can let an agent act on the wrong instruction or the wrong authority.

The takeaway

A capable agent is not safer just because it is obedient. The safety test is whether it can identify intent, authority and uncertainty before it acts.

Infer preferencesAsk when unsureConstrain toolsAudit authority

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