Responsible AI Starts with the Data Supply Chain
The Partnership on AI emphasizes that responsible artificial intelligence development must begin with ethical practices in the data supply chain. While public discourse often focuses on model capabilities and risks, the contributions of data enrichment workers who label and annotate training data remain largely invisible and undervalued. These workers frequently face low wages, unclear expectations, and inadequate protections within an opaque and unregulated industry. To address these issues, the organization has released two new practical resources: Vendor Engagement Guidance and a Transparency Template. These tools aim to help companies engage more accountably with downstream vendors and publicly report on their data enrichment practices. Building on its 2023 Guidelines for AI and Shared Prosperity, the Partnership on AI highlights the broader economic implications of AI, including potential job displacement and inequality. The organization has convened a new Labor and Economy Steering Committee to analyze future scenarios and guide policy decisions. Additionally, it continues to support Business for Social Responsibility’s initiative to integrate human rights-based approaches into AI data practices, ensuring that workers are included in conversations shaping the future of technology and economic opportunity.
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Responsible AI Starts with the Data Supply Chain
The Partnership on AI emphasizes that responsible artificial intelligence development must begin with ethical practices in the data supply chain. While public discourse often focuses on model capabilities and risks, the contributions of data enrichment workers who label and annotate training data remain largely invisible and undervalued. These workers frequently face low wages, unclear expectations, and inadequate protections within an opaque and unregulated industry. To address these issues, the organization has released two new practical resources: Vendor Engagement Guidance and a Transparency Template. These tools aim to help companies engage more accountably with downstream vendors and publicly report on their data enrichment practices. Building on its 2023 Guidelines for AI and Shared Prosperity, the Partnership on AI highlights the broader economic implications of AI, including potential job displacement and inequality. The organization has convened a new Labor and Economy Steering Committee to analyze future scenarios and guide policy decisions. Additionally, it continues to support Business for Social Responsibility’s initiative to integrate human rights-based approaches into AI data practices, ensuring that workers are included in conversations shaping the future of technology and economic opportunity.
Partnership on AI