consent-and-agency

Design AI consent mechanisms by applying informed consent principles, prioritizing opt-in over opt-out, and ensuring continuous transparency for data usage and actions. This approach prevents dark patterns by keeping users informed and in control.

Agency controls in AI system design provide users with the ability to understand, approve, and override AI actions. Key controls include reversibility, clear exit paths, and override mechanisms across data handling, actions, and system access.

Create governance artefacts for user autonomy by documenting consent flows through flow diagrams and building control inventories. These artefacts map informed consent processes, override mechanisms, and system access boundaries.

The best way to document override mechanisms for AI actions is to draft descriptive Markdown detailing usage instructions, pattern guidance, and control inventories. Include a YAML frontmatter with a name and description to structure the governance artefacts.

You need opt-in over opt-out for AI data handling when explicit user consent and ongoing oversight are required. Prioritizing opt-in ensures users actively approve data usage and system access rather than passively allowing it.

Yes, you can use Markdown to define consent and agency patterns. The skill requires a SKILL.md file with YAML frontmatter for metadata and a descriptive Markdown body detailing the patterns, artefacts, and usage instructions for AI ethics governance.