Inaugural Webinar: Metadata, Linked Data, and AI

As powerful and useful as AI and ML tools are, there are risks in applying them if they are not sufficiently explainable, robust, transparent, or adhere to fairness and privacy principles, which can seriously jeopardize the trustworthiness of AI. Metadata and linked data technologies and methods play an important role in capturing, linking, and documenting the data (input & output), parameters, models, environment configurations, and versions of data and models. All of these contribute to the trustworthiness of AI. This presentation reviews the requirements for trustworthy AI as well as metadata categories used in representing trustworthy AI. Through examples, issues and challenges will be discussed for AI applications in metadata generation/creation.