Crowd Louder Media Aims to Leverage AI Ethically and Responsibly

Fundamentally, we believe that AI tools should support and improve upon the work that humans are directing. We are sensitive to the disruptions that AI is having on early career workers, especially within media and marketing occupations.

For these reasons, we leverage AI tools in specific ways. In general, we insist on knowing exactly what AI tools are doing within our workflows. Our teams do not leverage these technologies for any function without close, continued and consistent oversight.

Our Practices and Commitments for Using AI Technologies

- We commit to never knowingly use AI technology to mislead, deceive, or spread falsehoods, misinformation, or propaganda.
- We prefer photographic and illustrative visuals, rather than AI-generated visuals that might be confused with real photos.
- We look for ways to combat negative impacts of AI disruption by supporting early career workers and intentionally including LGBTQIA+ and minority-oriented publishers that might be excluded by human and AI bias.
- We look for opportunities to work with organizations who share our values on AI and other matters.
- We avoid doing business with people and organizations who are not guided by shared values.

As of April 2026, these are the most common ways we leverage AI tools:

1. LLM Tools Such as Claude: Content summarization, synthesis and analysis, followed by confirmation of key facts and citations that guide decisions, suggestions opinions.
2. AI-Assisted SEO Activities: Allowing AI tools to amplify and clarify human-generated content.
3. Creative Tools Such as Canva, Figma and TheBrief.AI: Assisting generalist workers with tasks outside of their domain expertise, such as adapting visuals for different sizes and formats.
4. Media-Buying Platforms: Scanning and categorizing large content pools for ad targeting purposes. Automating ad adjacencies based on human-generated inclusion and exclusion lists. We do not allow AI tools to exclude content adjacency based on human biased keyword lists.
5. Generating Lookalike Audiences: Analyzing large datasets for connections between anonymous audience segments.