Making Human Measurement Matter for Human Development: Towards a Theory of Change for the Data Revolution

Chapter 4 of Human Development and the Data Revolution, titled “Making Human Measurement Matter for Human Development: Towards ‘Human AI'”, is authored by Emmanuel Letouzé, Director of the Data-Pop Alliance. In this chapter, Letouzé explores how data can be leveraged not just as a tool for measurement, but as a transformative force in advancing human development.

He introduces a conceptual framework where data serves three pivotal roles:

  1. Lens: Data provides a clearer, more accurate depiction of societal phenomena, enabling stakeholders to better understand complex human development issues.
  2. Language: Through data literacy and statistical understanding, individuals and communities can engage in meaningful dialogues about data-driven methods and their implications.
  3. Lever: Data acts as a catalyst for change, empowering communities to make informed decisions and implement strategies with measurable outcomes.

The chapter emphasizes the importance of integrating ethical considerations into data systems, advocating for a “Human AI” approach that prioritizes human rights and inclusivity. Letouzé argues that for data to truly benefit human development, it must be accessible, understandable, and actionable for all, not just a privileged few.

Topics

Just Digital Transformations

Author(s)

Author(s): 
Emmanuel Letouzé

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