PUBLIC-PRIVATE DATA SHARING: FROM 'DATAVEILLANCE' TO DATA RELEVANCE
| Autor: | Lazarotto, Barbara |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) |
| DOI: | 10.5281/zenodo.7490203 |
| Popis: | In recent years, there has been a rise in the idea that more data might be the solution for a more objective and effective public sector, based on it, cities have become "smart" increasing dramatically the control, classification, and prediction of citizens. Thus, this poster aims to study how public-private data sharing can be used for making data relevant for individuals while respecting data protection rights and the fundamental rights of citizens. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|