Tagged: ai-ethics

20 entries

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Cultural Awareness in Global AI | Cohere

Cohere Labs' analysis of modern LLM training pipelines reveals that cultural diversity is systematically lost during post-training, even when models support multiple languages. The authors argue that building truly global AI requires moving beyond multilinguality to explicit cultural representation in training data itself, as inference-time alignment techniques assume cultural knowledge is already present in the model.

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This is what an AI policy should look like:"[T]he current state of the technology requires that AI use be coupled with the cognitive skills necessary to strategically deploy the technology, to… | Dagmar Monett | 36 comments

This LinkedIn post highlights UC Berkeley Law School's AI policy that restricts student use of generative AI for core legal reasoning tasks like brainstorming, drafting, revision, and exams. The post curates and endorses this policy as a model for responsible AI governance in higher education, emphasizing that cognitive skill development remains essential for quality legal practice and education.

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Transforming education with generative AI and social annotation

Faculty at three universities are using Hypothesis social annotation alongside generative AI tools to promote critical thinking and ethical technology use rather than banning or ignoring AI. By structuring assignments that require students to evaluate, critique, and analyze AI-generated content, these educators help students engage deeply with course material while developing essential skills for thoughtful AI use.

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Tri-System Theory (Shaw & Nave, 2026)

Vincent Rump introduces the Tri-System Theory (Shaw & Nave, 2026), which extends Kahneman's dual-process model by proposing a third cognitive system — artificial cognition (AI) — that actively participates in human reasoning and decision-making. The post argues that humans increasingly defer to AI outputs with minimal critical reflection, a phenomenon the authors call "cognitive surrender," which improves decision quality when AI is correct but degrades it when AI is wrong — while trust remains consistently high either way. This raises urgent questions about human autonomy, expertise, and responsibility as cognition becomes a hybrid, human-AI process.

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Announcing: "Supercharged Human?"

Tactical Tech is a Berlin-based international non-profit that develops creative interventions, toolkits, and training programs to help individuals, communities, and educators critically understand the socio-political and environmental impacts of digital technologies. Its flagship announcement, "Supercharged Human?", targets teens and educators with ready-to-use AI literacy resources designed to foster critical engagement rather than passive adoption. The organisation frames its work around building civil society capacity to resist misinformation, digital extractivism, and uncritical AI use.