[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](https://www.google.com/goto?url=CAESdAHrOzAVhLF-HqgyDY2ibtzMNR6ewH3hO-GJaMf6TQcxxCokUAEnG5rOTKamVs1FUFLMD2zRY-hsMH0zOEim1Hhq4fw3A7YqViOWDQqJ3WkrI9LlpC9qGzki6dLesQYaJD7dxbg6Nzm1C7OX0UN0pFB9Eitq), [2](https://www.google.com/goto?url=CAEShQEB6zswFcijssYIixxqPeJWFKr06zM6Te2Yt-2Z8S9-QcFLUHLrBEuNgxhlS6isT00BEgbv_OLO2N4zVHKabTyTw-lDrVD2rSLWoHgFbjYxqIOOLh_Qn7xbqmXPt5Ri9yPw-UP_bAaxy4dzPknOu0YbNvMq19YeIkTBo6zs8fbN2xyMp4DU)]
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](https://www.google.com/goto?url=CAESeAHrOzAVND9eFZCGixAz3bZoO8wN8T9qrb8BmKoRzy6IulvThWyTeBETsd2J4trGMIMtbg7zYS6Y9Ja767PdiEnxPaiDR3LxVVdHsUQEgYaInf2y_RBzgujcY0fGZabmBhU5kr4hA_KEYCr1cRv9zBsjhvR2DsT46Q), [2](https://www.google.com/goto?url=CAESbgHrOzAVFmcQ-XobG4Ddo1Uwj9nuP6v50MoC0NJZZFNYIvJmN87T4gwUvKcPdV4wKToiekCSVzQDwDw_d3pz-0lYs3A7VflUuRtetPoetJTTR9bDy_PTeCPMQIsOAxV01gMmENlmct6cACPKgIVF)]
* Vendor Engagement Guidance: Practical tools to help AI developers have more accountable conversations with downstream vendors regarding worker treatment and contract terms. [[1](https://www.google.com/goto?url=CAEShQEB6zswFcijssYIixxqPeJWFKr06zM6Te2Yt-2Z8S9-QcFLUHLrBEuNgxhlS6isT00BEgbv_OLO2N4zVHKabTyTw-lDrVD2rSLWoHgFbjYxqIOOLh_Qn7xbqmXPt5Ri9yPw-UP_bAaxy4dzPknOu0YbNvMq19YeIkTBo6zs8fbN2xyMp4DU)]
* Transparency Template: A standard outlining what companies should actively monitor and publicly report about their data enrichment operations. [[1](https://www.google.com/goto?url=CAEShQEB6zswFcijssYIixxqPeJWFKr06zM6Te2Yt-2Z8S9-QcFLUHLrBEuNgxhlS6isT00BEgbv_OLO2N4zVHKabTyTw-lDrVD2rSLWoHgFbjYxqIOOLh_Qn7xbqmXPt5Ri9yPw-UP_bAaxy4dzPknOu0YbNvMq19YeIkTBo6zs8fbN2xyMp4DU)]
* Data Enrichment Sourcing Guidelines & Checklists: Shareable resources—including the Good Instructions Checklist and vendor comparison templates—designed to operationalize worker-centric standards. [[1](https://www.google.com/goto?url=CAESpQEB6zswFcmZkTtYbzCA9zH2osAMKR_j-Iiu7d_b9Ld_CkffQco1ST2-pKSq3yfrGCDoha4HKXRnFsbr3cXXh8gKD5z6nyCEgS_rnLA76ossU_DbJBHd2Z9ihpoQ3E8L6ONaZyCdO9jR-qwBXba1PTsjr_q6APTT8ZmH1jKDdTU8XiKBr7cbBuRllyOjRFw1mmq55pGQKaJoofkeIns9OxzvcCt1VK4)]

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](https://www.google.com/goto?url=CAESeAHrOzAVZ9hzdvGoFuVTV7gTFhG86AR5uDnJY3wi5ilH7QV-n2R6X5vrF8RH-diU5rt4dkK6Mzo28ei88Z-zL_u0CXLpckNCfr7hchlZONkKRgnye3L1rh8dC04pymqKlQnxaHpCbolMyrkd4gwwfMkmbU_9ssJQaw), [2](https://www.google.com/goto?url=CAESYwHrOzAVjwkAM8M4WzQceYJFLyQmDpVCSyxnUdjvcvXXHA97v_BWieBiHfslPU-1kbHVTFE5TyPZNlvbxD7iznnDk89tONIy_aEaNJaSCHgPG24Ich5w5V7Blcng2dU9EDkrFQ)]

Would you like more information on how to implement PAI's transparency template or specific guidelines for data enrichment workers?
Partnership on AI
Responsible Sourcing Across the Data Supply Line - Partnership on AI
Workstream: Responsible Sourcing Across the Data Supply Line by Partnership on AI aims to develop actionable recommendations and resources improving working con...
Partnership on AI
Responsible Sourcing of Data Enrichment Services
Responsible Sourcing of Data Enrichment Services Sonam Jindal June 16, 2021 As AI becomes increasingly pervasive, there has been growing and warranted concern o...
Partnership on AI
Responsible AI Starts with the Data Supply Chain - Partnership on AI
The conditions under which data is produced directly affect the quality, safety, and reliability of the AI that is built on it. Since 2020, Partnership on AI ha...
Partnership on AI
Workstream: Responsible Sourcing Across the Data Supply Line - Partnership on AI
Apr 29, 2026 — Last year, the Partnership on AI (PAI) published “Responsible Sourcing of Data Enrichment Services,” a white paper exploring how the choices made by AI practiti...
Samasource
New White Paper by Partnership on AI: Responsible Sourcing of Data ... - Sama
... companies building and using AI technology, and other groups working to better understand AI's lasting impacts. Their latest white paper Responsible Sourcin...
OECD AI Policy Observatory
Responsible Data Enrichment Sourcing: Resource Library for AI Practitioners
Feb 14, 2023 — To help fill this gap, Partnership on AI (PAI) shared the Responsible Data Enrichment Sourcing Library, a set of resources AI organisations can use to formalise...
YouTube·Partnership on AI
1:59
YouTube