Fairgen has led the AI Data Quality innovations with the debut of Fairgen Check, a new quality firewall intended to deepen research validation post-collection. The company wants to change the way studies are reviewed by providing modern review workflows, as data fraud and low-quality responses have become a major challenge in the insights industry. Fairgen, a provider of AI-powered synthetic data solutions to companies like Ifop, Big Village, Cint, YouGov, L’Oréal, and T- Mobile, is adding another layer of independent verification to its platform with this new tool. In addition, the tool allows the insights team to be first to spot the unreliability of the responses, thus, saving time in the whole process of analysis.
Fairgen Introduces Fairgen Check to Elevate AI Data Quality
Fairgen Check is a local final check of data collection. It helps check any data sample through a combined model that uses statistics and advanced language models to detect anomalies. As a result, research teams gain a less manual and more objective way of working with reviewers. Intervention during the review process is reduced. Subjective reviewer decisions are also addressed.
As per the company, research teams are overwhelmed with extremely large volumes of bad-quality participations. Hence, the company positioned Fairgen Check as the layer bridging the closing and the intermediate stages of the review. The tool makes it happen that only well-written and reliable responses get the green light for reporting.
Fairgen Check integrates three different tunings. Firstly, the statistical and behavioral models detect anomalies such as speeders, straightliners, and erratic patterns. Secondly, the tool analyzes open-ended responses to find the lack of relevance, duplication, gibberish, or AI-generated text. Thirdly, an agentic GPT-like inspector that reviews questionnaires, recognizes contradictions, and pinpoints inconsistency coarsely, if not at all, by human check, is there. An initial user advocated for accelerated and more efficient workflows due to real-time quality alerts. Fairgen considers the event as a milestone that cements its standing as a reliable AI partner. Moreover, the company is planning further expansions on the platform to improve AI Data Quality in the research sector.
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News Source: Businesswire.com
