Topic • Principles

AI Principles for Synthetic Market Research

Principles turn “synthetic is fast” into “synthetic is accountable.” They map trustworthy AI expectations onto personas, twins, and simulated panels.

Principles Governance
Why this topic matters

Governance programs need a translation layer between abstract AI principles and day-to-day research practice. This topic shows how to anchor personas and twins in disclosure, validation, and auditability.

  • Apply OECD-style principles to population framing, grounding, and validation.
  • Connect high-level values to concrete controls and procurement language.
  • Share principles-backed rationale with stakeholders and reviewers.
Use this page to
  • Align ethics, legal, and research teams on principles.
  • Borrow language for internal policy updates.
  • Frame governance controls for buyer conversations.
Tip: pair principle mapping with your disclosure label so expectations stay visible at study level.
Articles tagged Principles
Materials that map trustworthy AI expectations onto synthetic research practice.
Governance • Principles
How OECD AI Principles translate into controls for synthetic personas, twins, and simulated panels.