The Trustworthy Artificial Intelligence Implementation - TAII Framework® offers organizations and companies a first orientation in 12 steps for the implementation of trustworthy AI. It also includes a strong focus on the analysis of social implications through the whole AI system development process. Thus, within the iterative framework, additional aspects such as the fulfillment of the Sustainable Development Goals, UN Human Rights, effects on the business model, supply chain, stakeholders, certifications, etc. are included.
The Trustworthy Artificial Intelligence Implementation - TAII Framework® generates a meta perspective of ethics within the AI system developer's ecosystem, supporting and expanding the trustworthy AI approach of the European Commission by designing social impact.
Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, it addresses the management’s awareness of the ethical and moral aspects of AI.
The TAII Framework Canvas covers the 12 steps of the holistic framework on the one side and generates many possibilities for group interaction between different stakeholders by using a similar approach as in the Design Thinking methodology. The updated version is available: http://dx.doi.org/10.13140/RG.2.2.20444.72328
For online collaboration there is also a new Miro TAII Framework Canvas template available.
A deep dive can be found in the book publication of "Trustworthy Artificial Intelligence Implementation - Introduction to the TAII Framework" in the Springer publishing house: https://link.springer.com/book/9783031182747
Baker-Brunnbauer, J. (2021). TAII Framework for Trustworthy AI Systems. ROBONOMICS: The Journal of the Automated Economy, 2, 17. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3914105
Further information about the TAII Framework is available under https://www.taii-framework.com
- Logga in för att kommentera
Kommentarer
Further reference material for applying the TAII Framework in AI system development processes are available under: https://socialtechlab.eu/insights
- Logga in för att kommentera
Thanks for sharing this, the TAII Canvas looks like a very practical way to get multidisciplinary teams around one table and keep “trustworthy AI” concrete across the lifecycle.
I’m working on a complementary open framework called Reality-Aligned Intelligence (RAI), which focuses specifically on ontological honesty and artificial intimacy: how AI systems represent themselves (friend, tutor, coach, companion) versus what they actually are, and how to audit that gap to prevent relational drift and over-attachment – especially for minors and vulnerable users.
The core proposal is here (open access): Reality-Aligned Intelligence (RAI): A Metaframework for Ontologically Honest AI Systems – DOI: 10.5281/zenodo.17686975.
It might be interesting to explore how a RAI “N/R/OH” lens (nature vs representation vs honesty) could plug into the TAII Canvas blocks on stakeholders, ethics and risk for systems with strong human-facing roles (e.g. AI coaches, companions, educational tools). I’d be glad to share a short overview or compare notes if you see potential complementarity.
- Logga in för att kommentera