> ## Content Index > Fetch the complete content index at: https://heathercutler.ca/llms.txt > Use this file to discover other available public pages before exploring further. # What AI Companies Can Learn from Pancreatic Cancer Non-Profits - URL: https://heathercutler.ca/what-ai-companies-can-learn-from-pancreatic-cancer-non-profits/ - Published: 2025-04-08T19:33:01.000Z - Updated: 2025-04-08T20:09:48.000Z - Description: We invite AI companies to engage with non-profits like ours to develop solutions that don’t just power businesses, but also drive progress where it matters most. - Author: The Heather Cutler Foundation - Tags: Artifical Intelligence, RunwayML, Canva ## Introduction Since our incorporation, we’ve embraced digital tools like **Canva** and AI-generated content platforms to create compelling, high-quality advocacy materials. But **video has always been a challenge**—until recently. Last month, we trialed **[RunwayML](https://runwayml.com/?ref=heathercutler.ca)**, and the results were incredible. The ability to produce professional, engaging video content **without the traditional barriers of cost and production time** was a game-changer. It allowed us to create impactful advocacy pieces that **drove engagement for our petition**, bringing critical awareness to pancreatic cancer care gaps in Canada. But here’s the reality: **AI video and image generation platforms are still built with commercial users in mind—not advocacy groups.** While these tools have the potential to revolutionize how non-profits like ours operate, they also come with **serious challenges that are actively holding organizations back.** ## The Moderation Barrier: A Hidden Roadblock for Advocacy Organizations ![IMG_5523.jpeg](https://heathercutler.ca/content/images/2025/04/IMG_5523.jpeg) For pancreatic cancer non-profits, **AI content moderation isn’t just an inconvenience—it’s a systemic issue.** We've spent countless hours engineering prompts to create content that aligns with our mission, only to have them **rejected, altered, or flagged by overly restrictive AI filters.** The reason? Many AI platforms are designed to detect and block content based on **generalized rules, without recognizing legitimate medical or advocacy-related material.** This means that words like **“tumor,” “cancer,” “diagnosis,” or even “patient”** can trigger content flags or alter AI-generated outputs, forcing non-profits to constantly **find workarounds, soften messaging, or reframe prompts** just to ensure their content gets through. For organizations without dedicated teams of AI engineers or copywriters, this is an **unnecessary hurdle that wastes time and limits impact.** ## AI Companies Can Learn a Lot from Pancreatic Cancer Organizations Pancreatic cancer non-profits—like other medical and advocacy organizations—operate in a space where **clear, accurate communication is critical.** We don’t just create content to **sell products or entertain audiences**; we create it to **save lives, drive policy change, and educate the public on complex healthcare issues.** Yet, AI platforms continue to treat non-profits the same way they treat **commercial marketers, social media influencers, or entertainment companies**—applying **the same broad moderation rules** that often strip down or outright block critical advocacy content. AI companies need to recognize that **non-profits require different considerations** when it comes to content generation and moderation. ## The Business Case for AI Companies to Work with Non-Profits The reality is, **AI companies are missing out on a huge opportunity.** By refining their moderation models and making AI tools **more adaptable for advocacy organizations**, they wouldn’t just be helping non-profits—they would be **improving their own platforms.** Imagine an AI system that can **differentiate between harmful misinformation and legitimate medical advocacy**—a system that understands context rather than blindly flagging keywords. Better moderation policies would **open up AI tools to more users**, creating a **stronger, more ethical AI ecosystem** that serves businesses, creators, and non-profits alike. AI companies that lead the way in **building non-profit-friendly AI solutions** will stand out, gaining credibility and **positioning themselves as industry leaders in ethical AI innovation.** ## What Needs to Change: Our Recommendations for AI Companies ### **1\. Context-Aware Moderation** AI models must be trained to recognize **medical and advocacy content** as distinct from harmful or misleading information. **Not all content mentioning cancer, tumors, or treatments is harmful—it’s necessary for awareness.** ### **2\. Non-Profit-Specific Training Data** AI companies should incorporate **verified non-profit content into training datasets** to ensure moderation systems can accurately differentiate between misinformation and legitimate advocacy. ### **3\. Collaboration with Advocacy Organizations** AI platforms should engage with **health-focused non-profits** to refine their models and ensure **the needs of medical and advocacy groups are understood and addressed.** ### **4\. Dedicated Support for Non-Profits** AI companies should offer **better support channels for non-profits**, including **fast-track content reviews and human oversight for flagged material** that might otherwise be wrongly removed. ### **5\. Non-Profit Pricing and Grants** AI platforms should create **affordable pricing models for non-profits** and offer grants to organizations working on social impact initiatives. ## Conclusion: AI Can Empower Non-Profits—But Only If It’s Built With Them in Mind ![IMG_5525.jpeg](https://heathercutler.ca/content/images/2025/04/IMG_5525.jpeg) AI **has the potential to revolutionize the way non-profits operate**—but right now, many of these tools are **not built with advocacy organizations in mind.** Instead of empowering non-profits, **AI moderation systems are slowing us down, forcing us to waste time working around unnecessary restrictions.** The good news? **This can change.** AI companies that invest in **better moderation, smarter training data, and closer collaboration with advocacy organizations** will **not only improve their technology, but also help drive real-world change.** As a pancreatic cancer advocacy organization, we believe in **leveraging AI for good**—but that requires AI tools that work **with us, not against us.** We invite AI companies to engage with non-profits like ours to **develop solutions that don’t just power businesses, but also drive progress where it matters most.** 🔗 **Read our full research report here:** \[\] **Let’s build AI that works for advocacy, for healthcare, and for change.**