As AI Models Become Black Boxes, SerpApi Urges Use of Public, Auditable Data Pipelines
AUSTIN, TEXAS – December 18, 2025 – Artificial intelligence is now the default technology for the world's search engines and more. But even as they rattle off well-articulated responses in record time, there is growing concern about the data they rely on. Engineers, policymakers, and security researchers are increasingly worried about this new black box-like quality behind AI.
Indeed, this so-called black box risk has many ramifications. AI systems are generating responses that can't be inspected, audited, or traced. With no paper trail, so to speak, the data being used to inform users might be outdated, biased, or even manipulated, and yet still maintain the seal of authority. This has become a major liability for anyone concerned with cybersecurity and market intelligence, not to mention public discourse.
It's also important to keep in mind that these seemingly smaller, localized problems are becoming global issues due to the scale of large language models, which are embedded within workflows that influence investments, research priorities, policy analysis, and consumer behavior. As a result, unverifiable or potentially flawed data can lead to rash decision-making.
Search data is paramount in such systems. People are using search engines all the time, and real-time search engine data provides the best indicator of emerging trends. AI systems have positioned themselves as dutiful butlers, returning the best results possible and on a tray. But what if this data is just wrong? And, moreover, what if there is no way to detect if it's flawed?
For cybersecurity professionals and data experts alike, it's an alarming structural weakness.
Founded in 2017, SerpApi has served as a reliable data infrastructure partner for diverse clients. It has always operated according to the principle that the data used by AI systems should be traceable, auditable, and reproducible. There should be no obscured pipelines, no mysterious black boxes. The data should be inspected, verified, and monitored over time.
SerpApi has always adhered to established security and encryption norms and continues to emphasize transparency in how data is sourced and delivered, never retaining personal data on its platforms. It's also devoted to a First Amendment ethos of open information: if AI systems are going to shape our understanding of the world, they should be grounded in open, public data.
To achieve this, SerpApi provides structured JavaScript Object Notation (JSON) results from all of the big search platforms, such as Google, Bing, Baidu, Yahoo, Yandex, YouTube, Amazon, and others. Its team has built over 50 specialized APIs that deliver real-time access to public search results, processing millions of requests daily with an average response time of less than a second and a publicly stated 99.95 percent service-level agreement. The company's emphasis is not on indiscriminate data acquisition, but on offering consistency, traceability, and reliability.
"Well-structured search data plays a critical role in reducing misinformation and hallucinations in AI outputs," says Alaa Abdulridha, engineering director at SerpApi. "When models are grounded in clearly sourced, queryable information, they’re far less likely to invent facts or blur the line between inference and reality."
SerpApi continues to innovate while adhering to its principles, Abdulridha notes. Some recent API releases include a Google Travel Explore API that offers structured access to destination information, including coordinates, imagery, airports, flights, hotels, and pricing data. The Google Shopping Filters API exposes complete retail filtering structures, allowing for precise and explainable analysis. Additional endpoints, such as OpenTable Reviews and retail search APIs for Walmart and Home Depot, extend coverage into commerce and consumer intelligence.
"Secure and trustworthy AI depends on data that engineers can see, verify, and explain," says Abdulridha. "Public, structured search data gives teams a defensible foundation, one that reduces hallucinations, supports auditing, and keeps AI systems anchored to reality."
As AI models increasingly act as decision engines in critical domains, vulnerabilities are skyrocketing and the need for transparent data sources is ever more acute. SerpApi maintains that public data pipelines can reduce opacity and improve trust in AI. The company continues to be dedicated to offering verifiable visibility into what information AI systems are now consuming.
About SerpApi
SerpApi is a leading provider of web data access and extraction solutions, offering a suite of APIs that enable organizations to retrieve critical public data from the web efficiently and reliably. SerpApi supports open-source software and maintains libraries for developers to assist with data collection, testing, and AI workflows, such as nokolexbor, turbo_tests, and serpapis-ai-image-classifier.
For more information about SerpApi, please visit www.serpapi.com or reach out at [email protected].