New California legislation requiring disclosure of digitally altered property photos has highlighted a growing problem in real estate: the industry’s inability to detect AI-manipulated images reliably. As AI tools for generating and editing property photos become widely accessible, MLS operators are under pressure to treat detection technology as essential compliance infrastructure.
California’s AB 723 mandates that brokers disclose digitally altered images and reference originals. It is the first major state response to the rapid spread of AI-generated property images, which Dominik Pogorzelski, President of Restb.ai‘s MLS division, calls “AI slop.”
AI-generated media now routinely misrepresents properties, making it easy for brokers to digitally alter photos with minimal effort. Consumer-grade AI applications can remove clutter, enhance lighting, add virtual furnishings, or generate entirely synthetic images. These tools are often free or low-cost and require little technical expertise.
The legislation exposes a critical gap. Detection technology has not kept pace with generation technology. Compliance teams lack reliable tools to identify manipulated images. As more states consider similar laws, pressure on MLS operators to implement detection systems continues to mount.
The problem is not hypothetical. Misrepresented listings create legal risk for brokers and damage buyer trust. A buyer who discovers that photos have been digitally enhanced or fabricated may pursue legal action, and the MLS hosting the listing faces reputational harm.
The past two years have seen a surge in powerful generative AI tools for image editing. These applications can subtly alter photos by removing objects, improving colors, or virtually staging rooms, often leaving few visible traces.
Detection technology remains limited. Most current tools can catch only the most obvious AI artifacts, and sophisticated manipulations can evade detection, particularly when changes are subtle. This leaves a significant enforcement gap. While AB 723 requires disclosure, compliance largely depends on broker honesty rather than robust verification.
Pogorzelski says Restb.ai is developing detection tools to help MLS operators “maintain a solid grip on compliance.” Historically, MLSs relied on manual review and member complaints to identify questionable listings. As AI manipulation becomes more prevalent, manual review is no longer practical, making automated detection systems a necessity.
California’s AB 723 is likely the beginning of a broader regulatory trend. Other states are considering similar regulations, which could create a patchwork of disclosure requirements for brokers and MLSs.
This growing regulatory interest is reshaping the compliance technology landscape. Detection tools that were once optional are quickly becoming mandatory. MLSs that do not implement effective detection systems risk hosting non-compliant listings, exposing themselves to regulatory scrutiny and legal action.
The shift mirrors broader trends in technology regulation, where platform operators are held responsible for content integrity even when they do not create the content. Just as social media companies face pressure to detect and remove misinformation, MLSs are now expected to identify and flag manipulated images.
A competitive dynamic is also emerging. MLSs that deploy robust detection systems can position themselves as more trustworthy and compliant, attracting brokers and agents who want to avoid legal risk. MLSs that lag may see members leave as compliance requirements tighten.
Deploying AI detection tools at MLS scale brings significant technical and operational hurdles. Detection systems must integrate with existing listing workflows, process images quickly, and flag manipulated photos accurately without generating excessive false positives.
False positives can delay listings and frustrate agents. If detection is too lax, manipulated images slip through. If it is too aggressive, legitimate photos are wrongly flagged. Striking the right balance requires extensive calibration and testing.
MLS operators must also decide how to handle flagged images. AB 723 requires disclosure but does not specify the format. MLSs may need to add new listing fields, notification systems, and review processes to achieve compliance.
Restb.ai’s system scans listing photos for signs of AI manipulation and flags images that cross certain thresholds for review. The company processes 1.5 billion images each month for compliance and feature detection purposes, giving it experience at the scale MLSs require. The effectiveness of any detection tool will depend on its ability to keep pace with evolving AI generation techniques.
The rise of AI-generated property images underscores a wider challenge: maintaining data integrity as content creation becomes more automated and manipulation more accessible.
Traditionally, real estate relied on professional standards and legal liability to maintain listing accuracy. Agents and brokers risked reputational and legal consequences for misrepresenting properties. AI tools now lower the barriers to image manipulation, making it easier to mislead buyers and more difficult for MLSs to detect violations.
This shift is prompting the industry to adopt technological safeguards that were previously unnecessary. Detection tools are being integrated into existing compliance systems to monitor listing accuracy and flag policy violations.
Regulatory necessity is now driving technology adoption in real estate. MLSs that have delayed implementing detection systems are under growing pressure to act as more states consider disclosure laws. For brokers and agents, the implications are clear. Manipulating listing images carries increasing legal and reputational risk. As detection technology improves and regulations expand, the likelihood of being identified grows, making compliance the safer and more sustainable choice.
California’s AB 723 marks a turning point for real estate compliance, pressing the industry to address the gap between rapidly advancing AI image generation and lagging detection capabilities. With other states poised to adopt similar rules, MLS operators must implement detection tools promptly or risk legal and reputational consequences.
The era of relying on trust and manual review is ending. Automated compliance technology is now a necessity for protecting buyers and preserving the integrity of the real estate market.
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