Swiss Digital Leadership Forum 2025
On October 28th, the Competence Center Digital Trust, together with our partners from Swiss-African Cybersecurity Community, participated in the Swiss Digital Leadership Forum 2025 – Strengthening Digital Leadership (DLF), organized by the FHNW School of Business in cooperation with Advatera. The one-day event brought together an interdisciplinary group of 270 industry experts and academics to exchange insights and experiences on digital transformation.
Contribution
Our colleagues from the Swiss-African Cybersecurity Community, Dr. Carlson Eyongabi Ngwa, Franka Ebai, and Prof. Dr. Bettina Schneider, participated in a round table discussion with Prof. Martina Dalla Vecchia from the FHNW School of Business. The session focused on the topic “AI Bias: What Systemic Biases Can Arise in AI Systems?” and explored the Eight Categories of AI Bias as defined by Santos et al. (2024):
- 🧠 Cognitive Bias – Perception and Decision Biases of Developers
- 🎨 Design bias – subjective design decisions that exclude certain user groups
- 📜 Historical Bias – Adoption of Historical Inequalities in Data
- ⚙️ Model Bias – Biases by Assumptions in Algorithms
- 🧩 Requirements bias – one-sided or incomplete requirements collection
- 🌍 Societal Bias – Reproduction of Social Power Structures
- 🧪 Testing bias – insufficiently diverse test data
- 📊 Training bias – unbalanced or incomplete training data
Round Table Speakers:
- Dr. Carlson Eyongabi Ngwa – President and Founder, SwissLink Higher Institute of Business and Technology; Member, Swiss-African Cybersecurity Community
- Prof. Dr. Bettina Schneider – Co-Head, Competence Center Digital Trust; Co-Lead, Swiss-African Cybersecurity Community
- Franka Ebai, Researcher – Researcher, Competence Center Digital Trust; Co-Lead, Swiss-African Cybersecurity Community
- Prof. Martina Dalla Vecchia – Professor, FHNW School of Business
Resources
How Can AI Be Introduced Into Companies In A Legally Compliant And Trustworthy Way?
The Digital Trust Radar of the FHNW Competence Center Digital Trust offers valuable guidance through practical tools, best practices, and established standards to support organizations in implementing AI responsibly.