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AI

Explainable AI for Transparency and Trust

Teams frequently face “build or buy” decisions when evaluating the cost-to-benefit ratio of using external vendors versus investing in building something in-house. In our previous experience, one frequent consideration that would come up is whether the onboarding and maintenance of a new service would cost more time and effort than not having integrated it at all.

This was a particularly sensitive matter when it came to software services that generated recommendations for fraud or abuse detection using analytics or predictive AI. As expected, these systems sometimes produced incorrect results. While it is expected that no system is perfect, one consistent source of frustration encountered by our teams was the lack of transparency around how a given recommendation was made by a selected tool, costing engineers, data scientists, and analysts countless hours spent investigating black box decisions.

For this reason, we chose to make Nuanced a product that not only yields an overall evaluation of whether a given image is likely generated by AI, but also provide some level of interpretability for said decision.

The Glossily Rendered Elephant in the Room or: Why We are Building Our Own Models

With the accelerating rate of advancement in AI and its seeming integration into all things, the decision for many companies is whether or not to use in-house models to provide these services. At Nuanced, we aim to balance innovation, customer satisfaction, privacy and pricing. Providing our service to detect and identify AI-generated content, we chose to develop and run our models ourselves, which we believe will uphold our aforementioned commitments. There are a myriad of reasons as to why we made this decision, and we believe, moving forward, more and more companies may plan to do so themselves.

Introducing Nuanced: Detecting Authenticity in the Age of AI

With AI-generated content rising, it has become vital to distinguish human-authored content from AI-generated impersonations across several contexts.

This is why we built Nuanced, a service for detecting AI-generated images. We help companies like dating apps, ad platforms, news sites, and marketplaces distinguish human-authored materials from AI-generated content.

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