Empowering Data Producers: A Roadmap For Researchers, Activists, And Policymakers.pdf

2305.13238.pdf
Preview of Empowering Data Producers: A Roadmap for Researchers, Activists, and Policymakers
🔗 Source: arxiv.org
📊 Size: 1.16 MB
📄 Pages: 11 pages
⬇️ Downloads: 181

Summary

advocates for a new paradigm where user-generated data, crucial for powering emerging technologies like AI, is recognized as "data labor." They argue that current practices leave data producers (users, artists, writers) with little control over their data's use and benefits.

Key Concepts:

Data Labor: Refers to the contribution of individuals in generating data through interactions with computing systems or web scraping. This includes both compensated (e.g., Amazon Mechanical Turk) and uncompensated (e.g., browsing history, user-generated content) activities.
Empowerment: The goal is to give data producers more agency over their data, its use, and its benefits.

Proposed Dimensions of Data Labor:

The authors identify six dimensions to characterize data labor:

1. Legibility: How easily can individuals understand the terms and conditions surrounding data collection and use?
2. End-Use Awareness: Do data producers know how their data will be used, who will access it, and what benefits they will derive from it?
3. Collaboration Requirement: To what extent is collaboration between data producers and technology companies needed for effective data generation and utilization?
4. Openness: Are there transparent and accessible processes for negotiating data use, sharing benefits, and ensuring accountability?
5. Replaceability: Can individuals easily opt-out of contributing data or replace one data provider with another?
6. Livelihood Overlap: Do data producers receive fair compensation and recognition for their contributions, aligning with their broader economic activities?

Implications and Future Work:

The authors suggest these dimensions can guide research, policy, and activism to empower data producers. They point to existing frameworks on empowerment and data leverage as a foundation. Future work could explore additional dimensions and develop concrete strategies for implementing the proposed roadmap.

Description

This paper outlines a roadmap for empowering data producers by understanding and addressing the dimensions of data labor, ensuring they have a say in the capture, use, and benefits of their contributed data, especially as tech giants like OpenAI and Google hold significant power.

Technical Information

  • File Format: PDF
  • File Size: 1.16 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 181
  • Last Updated: 4 weeks ago

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