Course Content
Assessing the Benefits Realistically
- Where AI demonstrably saves time today, and where expectations outpace reality
- Typical application areas by business function
- How to assess a use case before investing
- Why data quality and permissions determine success
Costs and Effort
- Licence costs, consumption-based models and the hidden items
- The effort before rollout: data hygiene, governance, training
- How to measure benefit without fooling yourself
Risks and Responsibility
- Faulty results: where they come from and how to deal with them
- Data protection and professional confidentiality in Swiss practice
- Loss of knowledge through public tools
- Accountability for AI-assisted decisions
- Impact on roles and skills within the team
Regulatory Framework
- Data protection requirements in Switzerland and the EU
- The EU AI Act and its relevance for Swiss companies with EU ties
- Requirements for transparency and labelling
- A workable internal usage policy: what needs to be included
