Raw LLM Responses

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Comment
In many fields, science and technology are still led mostly by men. Research shows this shapes how new tools, including AI, re built, often with an acceleration-focused mindset: faster, bigger, more efficient, but not always guided by the common good. Studies in feminist tech ethics remind us that technology could be developed differently: with more diverse voices, more care, and more attention to community needs. When one group leads, one vision dominates but we all feel the impact. Sources: • Nature (2022): gender bias in research visibility and credit. • MIT Press / “Feminist AI” research: the impact of homogeneous teams on AI values. • UNESCO (2021): gender imbalance in STEM and its influence on tech design.
youtube AI Governance 2025-12-05T15:5…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningvirtue
Policyregulate
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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