Join me in Aarhus at IoT Week.
How can we ensure not making the same mistakes as with the (failed) smart city (applications), but co-create services in the vertical applications (body/health, home/energy, car/sharing, region/collective intelligence) with all stakeholders including citizens? In this workshop we want to investigate the procedure of embedding these ideas and requirements in a Digital Signature for the Infrastructure.
This has the important bonus it no longer matters who hosts the data and which platforms it runs, as the liability, accountability, procurement, GDPR and Cybersecurity Act compliance is in situational contracts (term Christian Nold), thus ensuring the new insights (fostering new services) stay well known to all stakeholders. In earlier workshops of NGI Forward WP3 the realization was made that in these 5G environments all entities (whether persons, goods, objects or situations) will be given federated and temporary identities, as in the case of an accident with the connected car in which all âstakeholdersâ (the car, the person, the lantern pole that is hit, the water that the crashes into that is pollutedâŚ) receive temporary identities the ensemble of which becomes the âvirtual accidentâ the liability and accountability is administered on.
Currently eIDas is the digital signature for persons, GS1 is providing product codes (âpassportsâ) for goods and coelition.org is mapping and numbering everyday activities. In these environments AI will run in the network and robotic capabilities are built in to function semi-autonomously, the agency to name the combinations of the temporary and federated (attribute-based) identities will be vital to creating new services. Currently this agency is in the hands of GAFA and BAT.
In the case of architectures the first Salon put forward four building blocks. The first is that in an Internet of Humans , or Next Generation Internet , trust can be tokenized but only within a situation of already established trust between people, meaning there has to be a social understanding before it can be technically articulated, can we talk about communities and everyday life. The second is successful anticipatory regulation: âjoint-up multidisciplinary regulation through collaboration platforms on AI that include startups, think-tanks and academia, large and medium-sized companies, governments and their ethics commissions, civil society and activists.âThe third is to explore building institution like entities with the concepts of data utilities and the work of Neil Lawrence and Sylvie Delacroix who propose data trusts as a bottom-up mechanism whereby data-subjects choose to pool their data within the legal framework of the Trust. The fourth is to include potential third-party trust providers are seemingly neutral organizations that have a large member base organized around for example mobility (in the Netherlands the ANWB has a membership of 4.446.528 (1-1-2017). In January 2018, for example, the various accounts of FC Barcelona surpassed 180 million engagements worldwide. One could also consider alumni groups of different schools.
Have you also looked at the MyData-framework?