In order to allow LEAs to take coordinated action in real time against threats of terrorism, the RED-Alert solution will be applied in practice to cover a wide range of social media channels, which are used as a dissemination tool by terrorist groups.
In this regard, the RED-Alert solution has joined together various technologies, such as NLP, SNA, CEP building blocks with artificial intelligence (AI), in order to enable LEAs to collect, process, visualize and store online data related to terrorist groups, whilst ensuring that privacy of the data subjects concerned is safeguarded.
The latter was ensured through the undertaking of an analysis of the legislation and rules regulating data privacy within the European Union [EU], as well as any other states outside of the EU, which were involved or had a bearing on the creation and continued use of the RED-Alert solution. Additionally, a public wiki relating to the applicable rules and regulations on the protection of personal data was created, and which can be found here http://redalertproject.eu/public_wiki .
In light of this, special importance was given to Regulation [EU] 679/2016, most commonly referred to as the General Data Protection Regulation (‘GDPR’), in order to ensure that the RED-Alert solution, in its entirety, is compliant with the provisions contained therein. Technical and organizational measures reflecting the principles of data minimization and pseudonymization, amongst others, were in turn built into the RED-Alert solution.
Furthermore, an ongoing process of assessment of the RED-Alert ethics framework is carried out, and this tied to specific deliverables relating solely to ethics, since the RED-Alert solution depends heavily on human involvement and personal data, amongst others. Moreover, respect for the H2020 ethical guidelines has always been at the forefront and maintained throughout the duration of the project for the creation of the RED-Alert solution.