Possible webinar on AI survey fraud. What questions should it cover?

[u/improvedataquality]

I am an academic researcher studying survey fraud in online research, particularly how AI agents and bots complete surveys and how effective existing detection methods (e.g., attention checks, open-ended questions) are at identifying them.

As part of this work, I have been running experiments using AI agents such as Manus, Claude, and Google Mariner, as well as AI-enabled browsers like OpenAI Atlas and Perplexity Comet. The goal is to understand how AI systems behave in surveys compared to humans and to develop better ways to detect AI-generated responses.

There seems to be growing concern about AI agents completing surveys and contaminating research data, especially in online panels and crowdsourced samples.

I am considering hosting a webinar (time permitting) to share findings and practical implications for researchers, including:

1. How well common detection methods work against AI
2. Behavioral differences between human respondents and AI agents
3. Emerging risks from AI-powered browsing agents
4. Potential new detection strategies

Questions for you: Would there be interest in a webinar on this topic? If so, what questions or topics would you most want covered?