Articles

Utilization and application of artificial intelligence (AI) tools in research are expanding and already supporting exciting improvements in the speed, scale, depth, and predictability of insights the industry can deliver to end users. However, the impact AI can have on research raises familiar, new, and evolving considerations for practitioners. Key mandatories to ensure research integrity and quality when using AI tools are outlined in the Insights Association Code of Standards and Ethics.

Interest in and use of synthetic data has evolved significantly over the past two years. Synthetic respondents, simulated personas, and AI-generated datasets are now common in conference discussions, product development, and professional dialogue. This shift makes it timely to revisit how synthetic data and synthetic participants intersect with the Insights Association Code of Standards and Ethics. The intent is not to slow innovation or endorse it uncritically, but to ensure that adoption is de...

Ensuring a positive participant experience not only supports better response rates, but promotes the accuracy and engagement that produce reliable insights. The Duty of Care principles in Section 1 of the Insights Association Code of Standards & Ethics (Transparency, Respect, Fairness, and Honesty) are a practical roadmap for obtaining better data and maintaining the public trust on which our profession depends. Below, we examine where each principle might be violated, connect it to the Code, an...

Survey fraud, defined as a systematic act of intentional deception in order to gain a benefit during the conduct of survey research, has moved from being an occasional nuisance to an existential challenge for the market research industry. The Insights Association Code of Standards and Ethics provides a clear mandate: researchers must ensure transparency, methodological clarity, and data integrity. Nowhere is that more relevant than in how we prevent and disclose acts of fraud.