[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted.] [QUERENT] Partnership on AI Responsible Sourcing [SYSTEM] The Partnership on AI (PAI) focuses on responsible sourcing through its workstream on Responsible Sourcing Across the Data Supply Line, which aims to improve working conditions, fair pay, and well-being for global data enrichment and annotation professionals. [[1], [2]] Key Frameworks and Resources * Responsible Sourcing of Data Enrichment Services: A foundational white paper published by PAI that examines how procurement choices impact data workers and outlines industry practices to build an ethical supply chain. [[1], [2]] * Vendor Engagement Guidance: Practical tools to help AI developers have more accountable conversations with downstream vendors regarding worker treatment and contract terms. [1] * Transparency Template: A standard outlining what companies should actively monitor and publicly report about their data enrichment operations. [1] * Data Enrichment Sourcing Guidelines & Checklists: Shareable resources—including the Good Instructions Checklist and vendor comparison templates—designed to operationalize worker-centric standards. [1] Real-World Implementation * DeepMind Collaboration: PAI partnered with Google DeepMind to test and put these responsible sourcing recommendations into operational practice, sharing lessons learned to help other AI organizations raise standards across the industry. [[1], [2]] Would you like more information on how to implement PAI's transparency template or specific guidelines for data enrichment workers? Partnership on AI