SocialTechLab.eu

Where Humans Design
Social Impacts with AI Technology

The Trustworthy Artificial Intelligence Implementation - TAII Framework® generates a meta perspective of ethics within the AI system developer's ecosystem, supporting and expanding the European trustworthy AI approach - EU AI Act by creating social impacts with AI technology.

TAII Framework Canvas

The workshop tool TAII Framework® Canvas covers the 12 steps of the holistic framework and generates interactive online group collaboration between stakeholders.
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News & Projects

TAII Framework Canvas

The Trustworthy Artificial Intelligence Implementation (TAII) Framework Canvas is available on Miroverse. Try it out of the box.

The TAII Framework is listed at the European AI Alliance and at the OECD.AI Catalogue of Tools & Metrics for Trustworthy AI.

Research

* Ethical Challenges for the Metaverse Dev.
* Management Perspective of Ethics in AI
* How the TAII Framework Could Influence the Amazon`s Astro Home Robot Development
* TAII Framework Applied to Metaverse and AI Development a Case for Cyber Ethics
* Applying the TAII Framework on Tesla Bot

TAII Framework Book

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

Book review is published in ROBONOMICS: The Journal of the Automated Economy.

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. Organizations and Universities do trust the TAII Framework. Contact us for a first step towards an trustworthy AI system development.

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TAII Framework Infographic

Trustworthy AI Implementation (TAII) Framework for AI Systems

Trustworthy AI Implementation (TAII) Framework for AI Systems Canvas

AI Literacy Workshop

Strengthen your AI knowledge in accordance with Art. 4 of the EU AI Act, including responsible and trustworthy AI implementation. This applies to all companies that provide or deploy AI systems in the European Union (EU) since February 2025.

Workshop includes: 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.

Book an AI Ethics Workshop to kick off AI ethics in your organization, including a certificate and exercises to proof compliance.

AI Governance Copilot

Trustworthy AI Implementation (TAII) Framework supports different standards and regulations depending on risk evaluation, geographic market and industries. The AI Governance Copilot (Beta) helps organizations navigate the complexity and provides clarity on which standards and regulations to focus on. Contact us for early access.

AI Governance Standards and Regulations

ISO/IEC 22989 Standardized AI Concepts & Terminology, ISO/IEC 23053 AI System Frameworks for ML, ISO/IEC 23894 AI Risk Assessment & Mitigation, ISO/IEC 24029 Neural Network Robustness, ISO/IEC 8000-2 Data Quality Fundamentals, ISO/IEC 25059 AI System Quality Model, ISO/IEC 5259 Data Quality for Analtics & ML, ISO/IEC 27001 AI Data Security, ISO/IEC 27701 Privacy in AI Systems, ISO/IEC 19944 AI Data Flow & Gov. in Cloud Platforms, ISO/IEC 42001 AI Mgmt. System, EU AI Act, GDPR, EU Data Act, EU DSA, EU DMA, NIST AI RMF 600-1, NIST SP 800-218A, NIST AI 100-4, NIST AI 100-5, etc.

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, and the historical knowledge provide a rich empirical landscape from which to build a foundation for other empirical studies on TAII 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."

About

SocialTechLab.eu has been founded by Josef Baker-Brunnbauer during his research work at the University of Graz, Austria in 2019. The findings showed the need for Trustworthy AI (TAI) for a societal understanding and acceptance. It also demonstrated the challenges for companies to tackle the implementation of TAI.
SocialTechLab.eu consists of an interdisciplinary team that designs and drafts future social tech concepts & studies for companies in order to generate human-centered experience and sustainable social impact with AI products and services. The TAII Framework® for AI companies combines methodologies from interdisciplinary professions like computer science, innovation, business management, psychology, and sociology.

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 (e.g. EU AI Act) and certification. Communicate the taken social responsibility and shape a role model within your industry.