Trustworthy Artificial Intelligence Implementation
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.

TAII Framework Canvas
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. Sign-up and receive the TAII Framework® Canvas template:

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TAII Framework Canvas

The Trustworthy Artificial Intelligence Implementation (TAII) Framework Canvas is available on Miroverse now!


Management Perspective of Ethics in Artificial Intelligence published in Springer AI and Ethics Journal (ISSN: 2730-5961)

TAII Framework Book

Trustworthy Artificial Intelligence Implementation - Introduction to the TAII Framework published at Springer in Business Guides on the Go

TAII Framework®

Organisations and companies need practical tools and guidelines to kick-off the implementation of Trustworthy Artificial Intelligence (TAI) Systems. The scientific research based TAII Framework takes a holistic approach to identify the systemic relationships of ethics for the company ecosystem and considers corporate values, business models, and common good aspects like the 17 Sustainable Development Goals and the Universal Declaration of Human Rights.

The TAII Framework Canvas creates guidance to initiate the implementation of AI ethics in organisations without requiring a deep background in philosophy and considers the social impacts outside of a software and data engineering setting. Orgnizations and Universities do trust the TAII Framework. Contact us for a first step towards an ethical system development.

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TAII Framework Infographic

Trustworthy AI Implementation (TAII) Framework for AI Systems Universities
Trustworthy AI Implementation (TAII) Framework for AI Systems Canvas

AI Ethics Workshop

Three different online | offline packages. Course content: What is AI ethics? Values and norms. Ethical frameworks. Common good & well-being. Utilitarianism. Accountability. Transparency. Human rights. Data privacy. Safety & robustness. Bias. Fairness & non-discrimination. Ethics-washing. Guidelines & principles. Request the Workshop Program for your AI ethics kickoff, including a certificate and exercises.

University SDG Catalyst MOT

3 Different Workshop Packages

The AI Ethics Kickoff workshop guides from theory into doing the first steps for companies or institutions.

AI Business Model

Trustworthy AI generates new opportunities to define the value creation and how to create, deliver and capture sustainable value for your business.

Trustworthy AI

The TAII Framework generates a meta perspective on the systemic dependencies of ethics for the company ecosystem.

Business Model Innovation

Innovation and implementation of AI technologies and services within the organization's core business model to strengthen the market position for the future.

Trustworthy AI Implementation (TAII) Framework for AI Systems
Trustworthy AI Implementation (TAII) Framework Book

TAII Framework® Book

The Trustworthy Artificial Intelligence Implementation Framework generates a meta perspective of ethics within the AI system developer's ecosystem by designing social impact.
More information

Claretha Hughes
Robonomics, The Journal of the Automated Economy, Vol. 4, May, 2023

“Teaching and training ethics is already a difficult task. Adding AI to the ethics discussion further complicates decision making for managers, but this book provides clear examples and urgency for it to be done. For practitioners and researchers who seek to help with organizational development and implementation of AI and AI ethics, this book can be a valuable asset. The scholarly studies cited … provide a rich empirical landscape from which to build a foundation for other empirical studies on Tall system implementation.”

Steven Umbrello
Managing Director at the Institute for Ethics and Emerging Technologies

"Josef Baker-Brunnbauer's new book on the application of a practical framework for safe and trustworthy AI is a must-read for anyone working in the field of AI and machine learning. The author expertly guides readers through the complexities of building AI systems that are not only effective, but also safe and trustworthy. With clear and concise explanations, practical examples, and a wealth of insights, this book is an invaluable resource for anyone looking to stay ahead of the curve in the rapidly-evolving field of AI.”

Why Trustworthy AI?

Sustainability & Common Good

The assessment of the seven key requirements reflects and possibly adapts the design and development process of AI systems. Therefore, it generates a dispute with social implications and responsibilities to contribute and shape a good society.

Unboxing the black-box

Some machine learning techniques, although very successful from the accuracy point of view, are very opaque in terms of understanding how they make decisions. Non-trustworthy black-box AI systems refer to scenarios, where it is not possible to trace back to the reason for certain decisions.

Certification & Communication

Prepare and adapt the AI design and development process to simplify the implementation of governmental regulation and certification. Communicate the taken social responsibility and shape a role model within your industry.

Partner, Cooperation, Talks & Media

European Commission AI4EU EU AI Alliance Springer Link ATLAS.ti University of Graz New Business Magazine New Business Magazine DigitalCity.Wien PERFORM ROBONOMICS AI Guild IVI Innovation Value Institute MAIEI Metaverse Standards Forum AI4 Good Foundation SDG Catalyst DIO Data Intelligence Offensive Miro Miro

New Business, IT- & Digitalisierungs-Guide: KI-Ethik-Workshops
Artificial Intelligence EU Conference: AI Research Hub
AI4EU Cafe: How to overcome the barrier to kickoff TAII
PERFORM European Digital Retail Summit: TAII Framework
DigitalCity.Wien: Digitale Montagsrunde
Innovation Value Institute: Digital Retail Webinar
AI Guild: Trustworthy AI
ETAPAS: Disruptive Technologies
European Commission: AI Alliance
enliteAI: AI Landscape Austria
Montreal AI Ethics Institute MAIEI: Applying the TAII Framework on Tesla Bot
Montreal AI Ethics Institute MAIEI: How the TAII Framework Could Influence the Amazon’s Astro Home Robot Development
SSRN: TAII Framework Applied to Metaverse and AI Development a Case for Cyber Ethics
Medium: is working on ethics standards for Metaverse
AI4Good Foundation: Building climate-and-community responsibility companies
Springer: Trustworthy Artificial Intelligence Implementation
enliteAI: AI Landscape Austria
Data Intelligence Offensive, DIO: und TAII-Framework
The Ethical AI Database, EAIDB: Collection of vetted, ethical AI companies
New Business Magazine: Künstliche Intelligenz
Miro: Miroverse - TAII Framework Canvas
European Commission: TAII Framework Canvas
Robonomics - The Journal of the Automated Economy: Book Review: TAII Framework
OECD.AI: Catalogue of Tools & Metrics for Trustworthy AI
The Ethical AI Database, EAIDB: Responsible AI Startup Ecosystem Map
M/O/T University Klagenfurt: ULG Daten- und KI-Management
M/O/T University Klagenfurt: Regulierung & Ethik im Spannungsfeld KI
European Commission AI Alliance: Holistic Framework for Trustworthy AI Implementation
European Commission AI Alliance: First Steps of Trustworthy AI Implementation by Using the TAII Framework Canvas
Brutkasten: Austrian AI Landscape 2023
AI Landscape Austria: 2023 edition AI Landscape
ETSI: Artificial Intelligence (AI) Conference
M/O/T University Klagenfurt: Regulierung & Ethik im Spannungsfeld KI
European Commission: EC Library Guide on trustworthy artificial intelligence

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