Consent and choice architecture
Meaningful consent ensures users understand and accept how their data is used in AI systems. Good consent design gives users clear choices about AI features rather than bundling everything together. For example, separating AI capabilities into individual toggles with simple descriptions helps users make informed decisions about which features they want to use. Each option should explain in plain language what the AI does and how it benefits users, avoiding vague statements like "improve your experience" in favor of specific explanations.
Default settings greatly influence user choices, whether features are opt-in (off until selected) or opt-out (on by default), dramatically changing adoption rates, since most people never change default settings. Ethical consent makes changing settings easy, offers clear ways to delete data, and avoids manipulative patterns that push users toward less private options. The goal isn't just legal compliance but creating genuine understanding and choice that respects user autonomy while still explaining the benefits AI features provide.
Pro Tip: Avoid bundling multiple AI capabilities under a single consent option; let users choose which AI features they want.

