With the rise of AI tools that can scrape, summarize, and repurpose public content, protecting the value and integrity of our community conversations has become more important than ever.
In a recent post, I shared a few practical steps we can take to reduce the risk of our content being lifted without credit or context:
- Gating high-value or sensitive discussions behind login-required spaces
- Updating terms of service to formally restrict AI training or reuse
- Using tools like
robots.txt to block AI crawlers—though it's worth noting that many new scrapers are starting to ignore these rules
These options aren’t foolproof, but they help set expectations and make content reuse less frictionless for bad actors.
Let’s discuss:
- Have you implemented any guardrails to protect your community’s content?
- Are you concerned about unauthorized AI reuse—or do you view it as inevitable?
- Have you found any effective strategies for retaining attribution or maintaining control when content is shared externally?
Let’s crowdsource what’s working (or not working) across different industries and platforms. 👇
