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- Technical innovation in privacy enhancing technologies, such as cryptocryptography, federated identity, security and privacy for Internet of Things (IoT), distributed ledgers and privacy-enhancing data transports and data at rest,
- Ethical aspects, such as ways to use AI/ML/neural networks to serve the user’s interests, legal and best practices for policy makers to consider, impact of profiling and mass surveillance,
- Bootstrapping trust at the protocol level, to maintain a decentralized Internet Infrastructure, for the establishment of trust, privacy (and security) between end-users and services,
- Ways for users to make more informed decisions on the relevance of information that they are asked to disclose when accessing services.
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