The rise of generative AI has created a new trust challenge online: people and platforms increasingly need to understand when text, images, or claims may have been produced or altered by AI. In a TechCrunch discussion, Pangram’s Max Spero argues that the problem is more complex than simply deciding whether something is “real” or “fake.”
The encouraging news is that a new generation of AI-focused trust tools is emerging. Startups like Pangram are working to help organizations identify AI-generated content in settings where accuracy and accountability matter, including job applications, product reviews, and insurance claims.
Why it matters
As AI becomes easier to use, detection systems can play an important role in preserving confidence across digital platforms. Rather than treating all AI-generated content as harmful, smarter tools can help distinguish between acceptable AI assistance and deceptive or fraudulent use.
- Trust: Detection can help users and businesses better understand what they are seeing online.
- Safety: Platforms can respond more effectively to manipulation, spam, or fraud.
- Responsible AI: Nuanced detection supports productive AI use while discouraging abuse.
The broader win is a more mature AI ecosystem: one where powerful generative tools are paired with equally thoughtful systems for transparency, accountability, and digital trust.