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tachAId-An interactive tool supporting the design of human-centered AI solutions
Max Bauroth1, Pavlos Rath-Manakidis1, Valentin Langholf2
1Faculty of Computer Science, Institute for Neural Computation, Ruhr University Bochum, Bochum, Germany.
Frontiers in Artificial Intelligence
|March 27, 2024
Summary
This study introduces tachAId, an advisory tool guiding developers in human-centered Artificial Intelligence (AI) design. It ensures AI solutions meet human needs throughout the machine learning lifecycle.
Area of Science:
- Artificial Intelligence
- Human-Computer Interaction
- Software Engineering
Background:
- Integrating Artificial Intelligence (AI) into business is vital for competitiveness.
- There's a need for structured guidance on designing AI solutions centered on human needs.
Purpose of the Study:
- To present "technical assistance concerning human-centered AI development" (tachAId), an interactive advisory tool.
- To guide AI developers and decision-makers through the machine learning lifecycle with a human-centered design focus.
Main Methods:
- tachAId provides concrete technical advice for human-centeredness across AI development phases.
- Effectiveness is evaluated using criteria for human-centered AI, derived from existing methodologies.
- tachAId and a comparable tool were assessed against these criteria.
Main Results:
- The tool offers motivation and practical advice for human-centered AI development.
- An evaluation framework based on challenges and goals was established.
- A comparative analysis highlights the human-centered aspects covered by advisory tools.
Conclusions:
- tachAId supports the creation of AI solutions aligned with human needs.
- The evaluation provides insights into the comprehensiveness of human-centered AI tools.
- This work aids stakeholders in selecting appropriate AI development guidance.
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