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June 9, 2026Open Access

Algorithmic Colonialism II: From Data Extraction to the Capture of Human Identity

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Authors

OQOsama S Qatrani

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Overview

The article develops a framework distinguishing data and algorithmic colonialism, emphasizing identity capture in digital systems.

Key Points

  • The aim is to analyze how algorithmic colonialism captures human identity beyond mere data extraction.
  • Develops the IAAP framework to analyze identity capture across memory, emotion, choice, and behavior.
  • Builds on existing debates concerning digital and data colonialism and AI governance.
  • Highlights the role of AI in shaping preferences and organizing societal behavior under unequal power dynamics.
  • Argues that decolonizing AI requires safeguarding cultural memory, human agency, and epistemic autonomy.

Cite This Study

Osama S Qatrani (2026) studied this question.

synapsesocial.com/papers/6a27adb0a963992e16267cffhttps://doi.org/10.17613/b24r2-adr30
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