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Entangling Design

An Experience Report on Co-Creative Socio-Technical Design for Verifiable AI
Discover how to design AI systems that are ethically, socially, and ecologically grounded.
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A Playbook for Building Trustworthy AI

AI development often prioritises speed and functionality, leaving trust, ethics, and long term social impact as afterthoughts. This report offers a step-by-step account of a participatory design process that turns high level AI ethics principles into concrete design actions. It renders practical workshop formats, facilitation methods, and co-creation techniques that your team can adapt to build socially, ethically, and ecologically responsible AI systems.

Our research documents an experimental socio-technical design process developed during the Verifiable AI with Self-Sovereign Identity initiative, led by cheqd in collaboration with SPRITE+, DoraHacks, and Verida.

Through a series of Social Design Jams, the project brought together technologists, social scientists, and designers to explore how to build AI systems that are functional while remaining socially and ecologically responsible.

Please also read our two practical guides for designing human compatible AI.

creating trusted data ecosystems

Move Beyond Technical Functionality: Build AI Systems That Are Socially, Ethically, And Ecologically Trustworthy

Move Beyond Technical Functionality: Build AI Systems That Are Socially, Ethically, And Ecologically Trustworthy
AI ethics is often framed as high level principles, leaving teams unsure how to turn them into practical design steps. Many struggle with where to start, who to involve, and how to balance technical goals with broader social responsibilities.

This report tackles these challenges head on. It offers a tested, participatory approach that makes abstract ethical concepts actionable, providing tools and processes that teams can adapt to embed trust, ethics, and ecological thinking into real world AI projects.

You’ll Learn from This Report

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Why traditional AI ethics frameworks fall short in real world product development

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How interdisciplinary collaboration and participatory methods can reshape AI-human relationships

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How to practically integrate social values like care, agency, consent, and ecological stewardship into your AI design process

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Lessons from successes and failures in applying this methodology during the Verifiable AI hackathon

Verifiable AI

How to Design Ethical AI Systems?

A practical guide for designing AI systems that embed trust, ethics, and ecological thinking, using participatory, human and non-human centred approaches.
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Entangling Design Report

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