1. Correspondence Filter
- For users: Emma imagined a world where users approached AI responses with a filter that prioritised real-world facts. With this filter, users could be encouraged to question whether an AI response really reflects objective reality. Is the information something that can be verified, such as a date, name or location? By encouraging users to think about real-world alignment, this filter could encourage a habit of cross-checking, rather than accepting everything at face value.
- For developers: Developers, Emma thought, could take advantage of this filter by building in fact-checking mechanisms. Integrating real-time fact-checking tools - such as APIs that pull from updated databases - could flag answers that deviate from established facts. This step would help reduce the likelihood of hallucinations by keeping responses grounded in reality, especially on fact-sensitive topics.