Trust collapses when people can’t tell what’s real. IFPG works on the biggest lever in that collapse, the information environment itself, building tools, research, and interventions to restore people’s capacity to know what is true.

• Ideological skewing in how large language models are trained and deployed
• Tools for monitoring and counterbalancing AI bias as it shapes public understanding
• Transparency and traceability in AI-generated content

Original research (with Dewey Digital) documenting the asymmetric accessibility of conservative vs. progressive content to AI training pipelines and the downstream consequences for public knowledge. Initial report to be released soon.

Follow-on work developing a diagnostic platform, content pipeline, and bias monitoring service for organizations whose work is shaped by commercial AI.

The inability to know what is real and what is not is directly correlated to the distrust in media and the misinformation vacuum that is damaging democracy. The potential for a Black Swan tipping-point event stemming from this is real. 

A strategic map of the current AI ecosystem’s impact on electoral processes and democratic institutions. The work engages across the system to empower progressive organizations with an understanding of the risk associated with adopting AI in their work, and the strategies they can use to effectively mitigate that risk.