TAII Framework Canvas


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.

The workshop tool TAII Framework® Canvas covers the 12 steps of the holistic framework and generates possibilities for group interaction between stakeholders by using a similar approach as the Design Thinking methodology.

1. Company Values

Used for the development of the company’s Business Model as well as to shape the AI System Brief Overview.

2. Business Model

Provides a holistic picture of how the organization creates and captures value.

3. AI System Brief Overview

Describes the purpose, use case, and the used input data of the AI system.

4. Stakeholder

Includes all internal and external involved people, groups, departments, companies, organizations, institutions, clusters etc.

5. Justice

Considers existing regulations and standards for the specific AI system. Safeguard a high standard of transparency, respect for democratic values, and legitimacy.

6. Risk

Assessment of the AI system’s ethical impact potential harm, and the affected human groups including the unintended results of the AI system.

7. Common Good

Analyzes the dependencies of the 17 Sustainable Development Goals and the Universal Declaration of Human Rights.

8. Ethics

Generates the core list of ethical requirements. Human agency and oversight; robustness and safety; privacy and data governance; transparency; diversity; non-discrimination and fairness; societal and environmental well-being; accountability.

9. Translation

Transfer and translation of the ethical principles and requirements for the AI system’s ecosystem.

10. Merge

Consolidation of the assessed input factors. Definition of the current state, visualization of the dependencies and planning of the next tasks for improvement.

11. Execution

Test, implementation, and verification of the results.

12. Certification

Safety assessment of the AI system based on legal regulations or taken actively into account by the company to provide transparency.

More detailed information about the TAII Framework® is available:

research paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3914105

book: https://link.springer.com/book/10.1007/978-3-031-18275-4

website: https://www.socialtechlab.eu


Josef Baker-Brunnbauer image
Josef Baker-Brunnbauer
Founder, Entrepreneur & Research@Josef Baker-Brunnbauer
He worked for over 20 years in different industry areas for start-ups and established companies in international projects for market leading clients. He is consulting companies about business model innovation, product innovation, change and digital transformation projects through his consulting company product-xyz.com and leading research projects for SocialTechLab.eu. The research focus is on socio-technical systems, trustworthy artificial intelligence, and its social impact.
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