**5. Privacy and ethics implications**

The core concept of HELIOSPHERE is to overcome the crisis of trust seeded by the use of Social Media to influence and manipulate large parts of society towards opinion forming. HELIOSPHERE, by its architecture, does not rely on storing information or using a centralised architecture to avoid similar pitfalls. The independent infrastructure via small, portable and affordable computer units described above ensures is specifically designed to provide no information needs to be stored or processed on an external server. Therefore, it can be argued that HELIOSPHERE works based on a trust-by design paradigm, which empowers real-time support from the AI approach. To increase ensure, privacy-sensitivity is provided. HELIOSPHERE does not rely on any personal information. The speech to text approach is not designed to identify specific and unique patterns over time but focuses on overall sentiment and terminology usage. There is, therefore, no temporal tracking in place that allows a comprehensive analysis of a specific individual. Ethically the concept has to evolve to 'explain' how the information has been collected and summarised. Hence, explainable AI needs to be applied to ensure ethical considerations can be taken into account, such as data decision transparency. Furthermore, it has to be assured that the approach does not evolve to 'making decisions' for both the moderator and the participants. Concepts that imply trust at its core are support mechanisms and should not undermine the moderators or participants trust in their judgement.
