SocialTechLab.eu

Our Commitment to Trustworthy AI Systems

We analyze real-world AI applications with the TAII Framework® to identify ethical challenges and generate best social impacts. Our insights help developers, policymakers, and organizations create AI systems that respect privacy, reduce bias, and enhance societal well-being.

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Key Resource for Trustworthy AI Development

The 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.

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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.

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Implementation of AI governance controls across the full model lifecycle, ensuring integration with existing data governance platforms and compliance mechanisms.
Leadership as a subject matter expert in AI governance by fostering cross-functional collaboration with Legal, Data Privacy, Cyber Security & EDA, ensuring AI Governance is built into the AI lifecycle.

SERVICES

Development and implementation of comprehensive AI governance framework aligned with data governance and enterprise risk management principles. Definition of policies, standards, and guidelines for responsible AI/ML model lifecycle management including design, development, deployment, monitoring, and deprecation.
Identification, assessment, and mitigation of ethical, societal, legal, privacy, and reputational risks associated with AI use cases by building integrations, assessments and workflows through a centralised governance platform.
Translation of evolving AI regulations (e.g., European Union Artificial Intelligence Act (EU AI Act), industry specific guidelines) into actionable internal policies and controls.
Establishment and management of AI model inventory, registration, and documentation, including mechanisms for explainability, fairness, transparency, and accountability.

About

SocialTechLab.eu has been founded by Josef Baker-Brunnbauer during research work at the University of Graz, Austria in 2019. The findings showed the need for Trustworthy AI for a societal understanding and acceptance. It also demonstrated the challenges for companies to tackle the implementation of TAI.

The TAII Framework® for AI companies combines methodologies from interdisciplinary professions like computer science, innovation, business management, psychology, and sociology.