Rethinking 'the Human' in AICEFR A1
16 Apr 2026
Adapted from Guest Contributor, Global Voices • CC BY 3.0
Photo by Steve A Johnson, Unsplash
- Xonorika Kira talks about AI and its effects on life.
- She warns that centring humans can exclude many other intelligences.
- She says other kinds of intelligence are often ignored.
- This exclusion comes from old ideas and systems of power.
- Kira asks for respect for many beings and relations.
- She suggests smaller, local data projects built on consent.
- She wants slower models and tools for local communities.
- Her aim is to protect culture, care and life.
Difficult words
- intelligence — ability to learn, think and solve problemsintelligences
- exclusion — act of leaving someone or something out
- consent — permission given by a person or group
- local — nearby in the same town or area
- culture — ideas, customs and art of a group of people
- protect — keep safe from harm or damage
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- Do you like the idea of local data projects built on consent?
- Do you think we should protect culture, care and life?
- Have you seen AI tools in your community?
Related articles
LLMs change judgments when told who wrote a text
Researchers at the University of Zurich found that large language models change their evaluations of identical texts when given an author identity. The study tested four models and warns about hidden biases and the need for governance.
MLB Toolbox: Money and Baseball Performance
Boston University finance expert Mark Williams and colleagues created MLB Toolbox, a data platform that compares team payrolls with on-field performance. The site ranks teams by spending efficiency, wins and WAR and lets users test roster choices.
AI and Wearable Devices for Type 2 Diabetes
A meta-review from the University at Buffalo examines AI-enhanced wearable devices for Type 2 diabetes and prediabetes. The study finds predictive benefits and important limits, and calls for larger, more transparent studies before routine clinical use.