Watch: Human roles & AI
Talks retain evidence and review limitations
Critical synopses on human judgement, delegation and responsibility around AI.
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Agency & control
Delegation, permissions, intervention and recovery when a system acts on someone’s behalf.
9 connections
These are editorial connections by subject, not claims of collaboration, endorsement or equal evidence quality. This first topic collection covers the new AI, robotics, security, interface design and preparation resources; it is not a complete index of the reading room.
Video collection
Topic guide
Cybersecurity & usable security
Editorial guide with research and official guidance
Design questions, original sources and an account-recovery activity.
Research paper
Legibility and Predictability of Robot Motion
Open author manuscript · full text reviewed
Distinguishes motion that helps an observer infer a goal from motion that matches expectations when the goal is already known. The paper combines a formal model with experiments involving different kinds of actors.
Research & guidance
Guidelines for Human-AI Interaction
Peer-reviewed conference paper · background · Open author manuscript · full text reviewed
A set of 18 guidelines, refined through several evaluation stages, including 49 design practitioners assessing 20 AI-infused products. Useful for examining expectations, correction and user control across an interaction.
Principles of Mixed-Initiative User Interfaces
Peer-reviewed conference paper · background · Open author manuscript · full text reviewed
Examines how automated assistance and direct user control can work together, illustrated by the LookOut scheduling prototype. It connects intervention timing and uncertainty about a user’s intentions to the costs of acting.
Ironies of automation
Peer-reviewed journal paper · background · Abstract-only review · publisher full text may require access
The abstract argues that automating industrial processes can expand, rather than remove, problems involving the human operator. A historical starting point for questioning what remains for people to do.
Measuring AI agent autonomy in practice
Industry empirical report · not peer-reviewed · background · Open report · methods and limitations reviewed
An observational analysis of millions of interactions across Claude Code and API usage. More experienced Claude Code users both enabled more automatic approvals and interrupted more often, suggesting oversight is more complicated than approval frequency alone.
Design foundations for agents
Practitioner guidance · not an empirical study · Public page text reviewed · some linked material may require sign-in
A starting point for agent design covering responsible AI, accessibility and interaction foundations. Use it to locate implementation guidance and identify questions for your own evaluation.
Learning pathway
How do I design for agents that take action?
Editorial activity · beginner and experienced routes
Make delegation, intervention and recovery explicit.