EU agri-food trade plunges in first month after Brexit

The exponential growth and importance of data generated in industrial settings have attracted the attention of policymakers aiming to create a suitable legal framework for its use. While the term ‘industrial data’ has no clear definition, such data possess certain distinctive characteristics: they are a subset of big data collected in a structured manner and within industrial settings; they are frequently proprietary and contain various types of sensitive data. The GDPR rules remain of great relevance for such data, as personal data is difficult to be filtered out from mixed datasets and anonymisation techniques are not always effective. The current and planned rules relevant for B2B sharing of industrial data exhibit many shortcomings. They lack clarity on key issues (e.g. mixed datasets), increase the administrative burden for companies, yet not always provide the data protection that businesses need. They do not provide an additional value proposition for B2B data sharing and hinder it in some cases. While this situation warrants policy intervention, both the instrument and its content should be carefully considered. Instead of a legal instrument, soft law could clarify the existing rules; model terms and conditions could be developed and promoted and data standardisation and interoperability efforts supported.

Source : © European Union, 2021 – EP

Artificial Intelligence (AI) enabling smart urban solutions brings multiple benefits, including more efficient energy, water and waste management, reduced pollution, noise and traffic congestions. Local authorities face relevant challenges undermining the digital transformation from the technological, social and regulatory standpoint, namely (i) technology and data availability and reliability, the dependency on third private parties and the lack of skills; (ii) ethical challenges for the unbiased use of AI; and (iii) the difficulty of regulating interdependent infrastructures and data, respectively. To overcome the identified challenges, the following actions are recommended: • EU-wide support for infrastructure and governance on digitalisation, including high performance computing, integrated circuits, CPUs and GPU’s, 5G, cloud services, Urban Data Platforms, enhancing efficiency and ensuring at the same time unbiased data collection. • Inclusion of urban AI in EU research programs addressing data exchange, communication networks and policy on mobility and energy, enhancing capacity building initiatives, also through test and experimentation facilities. • Harmonising AI related policies in the EU, taking into account the context specificity: necessary research. • Adoption of innovative procurement procedures, entailing requirements for technical and ethically responsible AI.

Source : © European Union, 2021 – EP

A majority (80%) of French people feel uninformed about the arms trade while more than 70% believe the arms trade should be the subject of a public debate in the country, according to a new opinion poll released by Amnesty…