Introducing Annotation Forms: Capture any human feedback without leaving Confident AI

Confident AI has launched Annotation Forms, a new feature on its platform designed to enhance the data annotation process by allowing users to create customizable fields for capturing specific reviewer feedback directly on the platform. This innovation addresses the limitations of previous fixed annotation fields, which often necessitated exporting data to spreadsheets for further review and analysis, thereby causing inconsistency and inefficiency. Annotation Forms enable users to design their own fields, ensuring that reviews are structured and integrated into the platform's ecosystem, facilitating the seamless flow of structured data into evaluation workflows. This feature supports various field types, including text, numbers, single and multiple choice, and criteria scoring, allowing for a tailored approach to data annotation and evaluation. The forms can be built using a drag-and-drop editor, and the structured data can be utilized as quantitative signals in dashboards and observatory tools, aligning human judgment with AI evaluation processes.

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