Images Used to Be Evidence
There was a time when a photo could settle a dispute, a security camera clip could support a legal claim, and a marketing image could build trust with your audience. AI-generated images have become so realistic that they’re now indistinguishable from real photographs. Misleading images create confusion and open the door to legal, reputational, and financial risk, and on the other side of the conversation, steps are needed to prevent AI companies like Meta from using your images in training their models.
How We Got Here: The Rise of Generative AI
With tools like Midjourney and DALL·E from OpenAI, anyone can create hyper-realistic images in minutes. Some are harmless, like product mockups or creative concept art, but others mimic real people, places, and events, sometimes convincingly enough to deceive even experienced professionals.
In a recent interview on MSNBC, historian Yuval Harari warned that this is no longer a technical novelty—it’s a test for societies and businesses alike. AI-generated content, he explains, can erode public trust and confuse the line between what’s real and what’s fabricated. Businesses, courts, and communities will need to rethink how they determine truth and protect integrity.
Just this spring, a fake AI-generated image of Billie Eilish went viral after being falsely linked to the Met Gala. It fooled thousands. The image was so realistic it made headlines not because it was fake, but because people believed it wasn’t. BGR’s coverage of the controversy shows how fast false visuals can spread, and how easily trust can be broken.
For law firms, this challenges how evidence is evaluated. For doctors, it affects how patient photos are stored and verified, with extra care needed to ensure data is secured from any model training. For bankers and business owners, it changes how identity, documentation, and brand trust are managed online.
What’s at Risk for Small Businesses
If you use images to communicate with customers, advertise your services, or document your operations, you must be sure you and your audience can trust those images.
Authenticity: Are your marketing photos original, licensed, or AI-generated? Are they marked as AI-generated when they are, or does your audience expect and tolerate a level of generative content?
Compliance: Do your records meet chain-of-custody or metadata requirements if used in a dispute? Do you have governance policies in place to define those rules for employees?
Security: Could AI-generated deepfakes be used to spoof your brand or impersonate your staff, and if so, how do you protect your organization from this risk?
How Salt Peak Helps
We work with businesses to plan for and help make smart, confident decisions around emerging technology. That includes helping you understand:
- What AI-generated content can and can’t be used for
- How to create policies around AI governance and image use and sourcing
- Which tools flag AI-generated media and protect brand identity
- How to leverage AI tools to drive efficient growth in your business
Remember: AI isn’t displacing your business, AI is powering you to displace the competitors that are falling behind.
Ready to Take the First Step?
Whether you’re worried about deepfakes or just want to use AI responsibly, Salt Peak can help. We turn confusion into clarity with practical advice and tailored plans. Book a consult, bring your questions, and let’s find out what’s possible.
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