Opt-In System

Restricting the use of AI-supported decision-making to situations where users explicitly request it ensures that human agency is prioritized in decision-making processes. By default, human-driven decision-making takes precedence, and AI is only deployed as a supplementary tool upon user consent. This approach emphasizes transparency, and trust in AI systems, enabling users to make informed decisions about when and how to engage with AI.

This limitation prevents undue reliance on AI, minimizes risks associated with automation bias, and ensures that users retain control over decision-critical situations. By framing AI as an option rather than default, organizations create space for greater accountability and ensure that the AI’s role aligns with user needs and expectations. Additionally, this strategy aligns AI deployment with ethical principles, particularly in high-stakes environments where human judgment is critical.

- Minimizes Automation Bias: This feature ensures users do not default to AI recommendations without critical evaluation, reducing the risk of flawed outputs.
- By requiring explicit requests, users maintain control and autonomy in decision-making processes.
- Limits the use of AI in contexts where it may not be suitable or where its outputs are prone to error or bias.
- Enhances Trust: Builds trust in AI by allowing users to engage with it on their terms and preventing perceived over-reliance.

- User Consent Logs
- Screenshots or database records demonstrating that users must explicitly opt in before AI-assisted decision-making is activated.
- System Configuration Documentation
- Technical documentation or settings UI showcasing human-driven decision-making with an option for AI support upon request.
- Usage Analytics Reports
-  Data demonstrating the proportion of cases where users have opted into AI assistance versus manual decision-making.
- Policy Documents
- Internal policies outlining procedures for opt-in AI use, including user education on its implications and limitations.
- End-User Training Materials 
- Manuals or training content explaining how and when users can enable AI support, ensuring informed decision-making.