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 framework seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles.

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. 

For online collaboration there is also the Miro TAII Framework Canvas template available.

Further information 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