Author

Entries by Maël Gassmann

Smart Cities and the Data Challenge: Balancing Innovation with Privacy

Smart cities promise to revolutionize urban life through data-driven solutions, but at what cost? While cities worldwide implement sensors and AI to optimize everything from traffic to energy, new ethical challenges emerge around privacy and surveillance. What are «smart cities»? The “smart city” initiative involves using various types of electronic sensors in urban areas to […]

Synthetic Mobility Data: The Future of Smart Urban Planning

Smart cities, optimized traffic, and autonomous vehicles all depend on one crucial resource: mobility data. But how can we harness this power while protecting privacy? Synthetic mobility data offers a compelling solution by creating artificial yet statistically accurate movement patterns without tracking real individuals. Our research team at Bern University of Applied Sciences explores the […]

The Verifiable Enforcer: On Creating Just and Transparent Rules for Digital Spaces

While natural laws are perfectly enforced and human laws attempt fairness through judicial systems, our digital world lacks consistent enforcement mechanisms. Maël Gassmann introduces the concept of a “Verifiable Enforcer,” a digital solution aiming to bring fairness and accountability to virtual environments. By implementing public algorithms and smart contracts, this approach offers resilience against corruption […]

Never consent without a clear purpose: the only one way to save self-determination

Consent to the use of mobility data means permission for the collection, storage, and use of personal data. The necessity of such consent is a fundamental requirement in the use of data. Why is informed consent crucial to ethical and responsible business and how does it correlate with the purpose of data usage? These are […]

How to balance privacy and informativeness 

Privacy is a fundamental ethical requirement in data usage. Protecting privacy means safeguarding the rights and freedoms of data subjects. But how to segment data content, retain informativeness, and protect individuals’ personal space? Finding the optimal balance in this matter is the most serious challenge in the use of mobility data.  Privacy is simultaneously a […]