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Rethinking 'the Human' in AI — Level B1 — the letters are made up of different colors

Rethinking 'the Human' in AICEFR B1

16 Apr 2026

Adapted from Guest Contributor, Global Voices CC BY 3.0

Photo by Steve A Johnson, Unsplash

Level B1 – Intermediate
3 min
143 words

Kira traces the problem to a long history in which animal, ecological, ancestral and spiritual forms of knowledge were dismissed. She argues that the narrow idea of “the human” has often been shaped by white supremacy, patriarchy, ableism and cisheteronormativity, and that reaffirming that idea in AI can reproduce exclusion rather than undo it.

She also discusses how the border between natural and artificial creates moral rules about who counts as embodied or real, and how those rules have been used to other people with marked bodies, genders or abilities. Kira describes a growing crisis of the real: AI images and voices now compete with reality, creating many images but making verification harder.

Her practical proposals include building situated datasets grounded in relationships, consent and accountability, and imagining smaller, slower models tuned to communities. She insists imagination should go with dismantling existing harms.

Difficult words

  • dismissrefuse to accept as important or true
    dismissed
  • white supremacybelief that white people are superior and dominate
  • patriarchysocial system where men hold primary power
  • ableismdiscrimination against people with disabilities
  • cisheteronormativitybelief that cisgender heterosexual identities are normal
  • embodiedhaving a physical body or physical form
  • verificationprocess of checking whether something is true
  • dataseta collection of organized data for analysis
    datasets
  • consentpermission given for something to happen

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • Have you seen examples where online images or voices were hard to trust? Describe one briefly.
  • What small steps could researchers take to include community voices when they build AI?
  • How important is consent when people’s images or voices are used? Give one reason.

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