Data Cards: Illuminating AI Datasets for Transparency and Responsible Development
As machine learning’s influence grows, so does the need for transparency in AI datasets. “Data Cards,” structured summaries highlighting key dataset facts, are emerging as a crucial tool. These cards offer insights into data shaping processes and influences on model outcomes, fostering informed decisions about data use. Effective transparency requires a balance between disclosure and vulnerability, while acknowledging subjective interpretations and enabling trust. Data Cards should cater to Producers (creators), Agents (users), and individuals interacting with AI-powered products, addressing their diverse needs.