SocialTechLab.eu

Where Humans Design
Social Impacts with 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 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:

News & Projects

TAII Framework Canvas

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

Research

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

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.

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.

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, 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 and certification. Communicate the taken social responsibility and shape a role model within your industry.