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Decolonising AI: A UX approach to cultural biases and power dynamics

  • AI systems, trained on biased data, often perpetuate inequalities and discriminations against non-Western populations due to cultural biases.
  • The need to Decolonise AI and address cultural biases and power dynamics through a UX approach is emphasized as an ethical and political imperative.
  • Algorithmic design reflects the values of creators and often excludes diverse perspectives, leading to failures in tasks like face recognition and natural language processing for non-English languages.
  • Marginalised communities are often excluded from shaping AI systems, leading to biased outcomes in areas like law enforcement and hiring practices.
  • To decolonise AI, power concentration in tech companies and governments needs to be challenged in favor of democratic control and accountability.
  • UX can aid in decolonising AI by centering experiences of marginalized communities, diversifying data sets, engaging in participatory design, and promoting transparency and cultural sensitivity.
  • Embracing a decolonial lens in designing AI systems can lead to greater inclusivity and accuracy by acknowledging historical power imbalances and prioritizing marginalized voices.
  • The commitment to building an environment where AI empowers rather than marginalizes requires a collective effort and ongoing dedication to decolonising human-AI interactions.
  • The 'UX for Decolonial AI' framework suggests strategies like diversifying data sets, engaging in participatory design, promoting transparency, and embracing cultural sensitivity to prevent harmful experiences in AI systems.
  • Overall, decolonising AI involves challenging existing power structures, recognizing cultural biases, and prioritizing inclusivity through diverse perspectives and community empowerment.

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