Post #2590343

Human-in-the-loop approaches are not a solution for all problems, as they are limited by time, resources, and expertise. There is a tension between the desire for more efficient, consistent AI decisions and the need for fairness, transparency, and accountability. Incorrect decisions can result in systematic errors and a lack of context consideration. The acceptable risk of errors must be carefully weighed. In Switzerland, there is a lack of comprehensive horizontal AI laws, so the administration relies on existing sectoral regulations (e.g., data protection provisions, specialized laws, internal guidelines). The Council of Europe is planning regulations, but definitions, governance, oversight, and fundamental rights protection remain uncertain. Only a few cantons, such as Aargau and Luzern, have developed comprehensive AI strategies; others deliberately opt out of a comprehensive strategy. The focus often is on operational AI, which directly impacts public value. Not every canton can build its own cloud infrastructure, highlighting the necessity for cooperation and shared solutions. #Winterkongress summary translated with #Apertus