The manuscript “Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), Michele Loi and Eleonora Viganò (University of Zurich) has been accepted for publication in Ethics and Information Technology. The paper proposes a novel form of transparency for technological artifacts using machine learning models that, compared to black box-driven approaches, can be more easily linked with the justification of their use and of the design of the models.
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- Delegating to Agentic AI
- GenAI in VR
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- Neurofeedback for Relaxation
- Neuromarkers for Emotion
- EMG for Relaxation
- Human Robot Interaction
- Transformers for Emotion Recognition
- Neuromarkers for Cognitive Load
- AI for Trust
- AI for Stress Detection
- VR for Relaxation
- LLMs for SMEs
- AR for Collaboration
- Telematics for Road Safety
- Chatbots for Collaboration
- Further Research
- Publications
- About Us
- For Students