AI

Tool of evaluation - Assessment List for Trustworthy Artificial Intelligence (ALTAI) for self-assessment
Anno 2020

The Assessment List for Trustworthy Artificial Intelligence (ALTAI) is a self-assessment tool developed by the High-Level Expert Group on...

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Scientific paper - Embedded ethics: a proposal for integrating ethics into the development of medical AI
Anno 2022

The article Embedded ethics: a proposal for integrating ethics into the development of medical AI proposes a model for incorporating ethical...

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Scientific paper - FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Anno 2025

The FUTURE-AI guidelines were developed by an international consortium of researchers, clinicians, and AI specialists to promote the development...

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High-Level Expert Group on Artificial Intelligence - Ethics Guidelines for Trustworthy Artificial Intelligence
Anno 2019

The Ethics Guidelines for Trustworthy Artificial Intelligence were published by the European Commission’s High-Level Expert Group on Artificial...

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Scientific paper - Generative language models exhibit social identity biases
Anno 2024

Study showing that many generative language models reproduce social identity biases similar to humans.

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Scientific paper - Knowing me, knowing you: theory of mind in AI
Anno 2020

Perspective article arguing that Theory of Mind is a key component for socially aware and ethically grounded AI systems.

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Tool of evaluation - ToMinHAI 2024: 1st Workshop on Theory of Mind in Human-AI Interaction
Anno 2024

Workshop resource synthesizing challenges, opportunities, and research directions for Theory of Mind in human-AI interaction.

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Scientific paper - Synthetic emotions and consciousness: exploring architectural boundaries
Anno 2026

Conceptual paper exploring whether affective processes can be emulated in AI without implying consciousness or moral standing.

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Scientific paper - Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Anno 2025

Introduces thought-tracing, an inference-time reasoning method for Theory-of-Mind tasks in large language models.

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