Project Team
Prof. Dr.-Ing. Armin Grasnick, Augmented and Virtual Reality (IU International University of Applied Sciences)
Prof. Dr. Anne Schwerk, Artificial Intelligence (IU International University of Applied Sciences)
Project Summary
The ‘AI Trust Lens’ project aims to develop a visual analysis tool that functions like a lens to analyze the trustworthiness of AI systems. Based on the extended Z-Inspection® framework, which includes nine dimensions, the AI Trust Lens enables users to focus on different aspects of an AI system, zoom in, and view them from different perspectives.
The Lens Concept
The ‘AI Trust Lens’ works metaphorically like a virtual camera with different settings:
- Wide-angle mode: Provides an overview of all dimensions of trustworthiness.
- Zoom mode: Enables individual dimensions to be enlarged and analyzed in detail.
- Focus mode: Highlights critical areas with a particular need for action.
- Comparator mode: Allows you to compare different AI systems or versions.
- Depth mode: Shows connections and dependencies between the dimensions.
Project Goals
- Development of the AI Trust Lens as an interactive visual tool for the nine Z-Inspection® dimensions.
- Implementation of various ‘camera modes’ for flexible analyses.
- Creation of quantifiable metrics for each dimension.
- Design of an intuitive user interface for easy navigation and analysis.
- Integration of AI-supported recommendations for improvements.
Methodology
Camera Design
Development of the visual metaphor of the ‘camera’ for the user interface and implementation of the various lens modes with corresponding visualizations.
Metrics Development
Specific metrics have been developed for all dimensions, with special consideration given to the quantification of dimensions such as ‘Democratic values’ and ‘Concentration of power’.
Data Visualization
Creation of dynamic, interactive visualizations for each camera mode, along with seamless transitions between modes for an uninterrupted analysis experience.
AI Integration
Trustworthy AI algorithms have been implemented to analyze input data and generate recommendations. Additionally, an ‘auto-focus’ feature automatically highlights critical areas needing attention.
User Interface
The interface is designed intuitively, using a camera-analogue layout, with integrated help functions and context information to assist users with complex concepts.
Expected Results
The AI Trust Lens aims to be an innovative, camera-based tool for extensively analyzing the trustworthiness of AI systems. It enhances accessibility and comprehensibility regarding complex ethical and social aspects of AI. Decision-makers are supported through intuitive visual analyses and AI-supported recommendations, ultimately promoting a holistic, multidimensional approach to AI ethics.
Outlook
In the future, the AI Trust Lens has the potential to improve the way we evaluate and understand AI systems. By combining the comprehensive Z-Inspection® framework with an intuitive visual metaphor, it allows users to dive deep into AI system complexities while maintaining an overview. This approach could set a standard for future AI assessment tools and contribute significantly to the development of trustworthy AI systems. The AI Trust Lens could become an indispensable tool for developers, auditors, and regulators to understand and optimize the ethical and societal impact of AI systems.
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