AI Opt-Out Controls — an AXD Institute resource on agentic experience design, agentic commerce, trust architecture, and human agent interaction. Founded by Tony Wood..
How does AXD differ from traditional UX?
Why is trust architecture important for agentic AI?
Key concepts in AI Opt-Out Controls | AXD Institute
How do organisations implement ai opt-out mechanisms relate to agentic commerce?
organisations implement ai opt-out mechanisms
ai opt-out important for trust in agentic systems
the technical requirements for ai opt-out
Agency requires intentional delegation — every agentic system begins with a designed act of delegation
Trust is the primary material — AXD works in trust rather than attention
Absence is the primary use state — the most consequential experiences happen when no one is watching
Relationships have temporality — agentic experiences accumulate history over time
Outcomes replace outputs — AXD designers specify results, not interfaces
Dimension
Traditional UX
Agentic Experience Design (AXD)
Primary material
Attention and affordance
Trust and delegation
User state
Present, navigating
Absent, delegating
Design output
Screens and interfaces
Outcomes and constraints
Temporal model
Session-based
Relationship-based
Success metric
Task completion
Trust calibration
Frequently Asked Questions
How do organisations implement AI opt-out mechanisms?
Organisations implement AI opt-out by providing clear mechanisms for users to exclude their data from AI training, prevent AI agents from acting on their behalf, and opt out of agent-mediated interactions. This requires technical infrastructure for consent management, data segregation, and alternative human-only service paths.
Why is AI opt-out important for trust in agentic systems?
AI opt-out is important because trust requires choice. Users who feel trapped in agentic systems will resist adoption. Providing genuine opt-out mechanisms demonstrates respect for user autonomy and builds the foundational trust needed for successful agentic relationships. Opt-out is a trust architecture component, not just a compliance requirement.
What are the technical requirements for AI opt-out?
Technical requirements include: granular consent management (per-feature opt-out, not just all-or-nothing), data segregation (ensuring opted-out data is excluded from AI processing), alternative service paths (human-only options for opted-out users), and audit trails (proving opt-out preferences are respected). These must be designed into the system architecture.
Key Takeaways
Agentic Experience Design (AXD) is a new discipline for the age of autonomous AI. It addresses trust architecture, delegation design, and human agent interaction — the core challenges of agentic commerce and agentic shopping.