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Cybersecurity for AI systems, although being just one of the aspects, is essential to demonstrate the trustworthiness of AI systems, hence providing assurance and trust to users and consumers leading to great societal impact.

It is well known that the widespread use of AI systems in many different sectors of the economy is bound to have a significant impact on society. This subject has been debated at length by different academic, industrial, and governmental organisations. Cybersecurity for AI systems, although being just one of these aspects, is essential to demonstrate the trustworthiness of AI systems, hence providing assurance and trust to users and consumers leading to great societal impact.

It is well known that the widespread use of AI systems is bound to have a significant impact on society. This subject has been debated at length by different academic, industrial, and governmental organizations. Cybersecurity for AI systems, although being just one of the aspects, is essential to demonstrate the trustworthiness of AI systems, hence providing assurance to users and consumers (societal impact).

Extending AI enabled PV concepts, systems definitions, architectures, use cases and technical specifications of processes and devices under the EITCI SESG (Smart Energy Standards Group hosted under EITCI Institute) AIPV WG, as well as in a dissemination combined with seeking a liason in cooperation with experts joining the CENELEC / IEC-TC CLC/TC-82 (Solar photovoltaic energy systems) and the CLC/TC-57 (Power systems management and associated information exchange) for power systems control equipment and systems including EMS (Energy Management Systems) and SCADA (Supervisory Control And Data Acquisition).

AI assisted smart PV systems enhance efficiency and performance of solar energy. By optimizing design, production, deployment and operation of PV, AI can maximize energy generation, leading to increased renewable energy adoption, reducing reliance on fossil fuels. This is especially important in the context of the challenging international situatio, as well as helps mitigate the environmental impact of energy production and addressing the problem of the related climate change.
Standardisation driven adoption of AI enabled smart PV technology supports transition to a cleaner and more sustainable energy future globally. AI enabled smart PV systems can greatly enhance resilience of the energy infrastructure in general. By generating electricity in an optimized way closer to the point of consumption, they reduce vulnerability to power outages and disruptions. Moreover, in remote or off-grid areas, smart PV technology can provide reliable and decentralized energy solutions, promoting energy independence and access to electricity. Finally the dynamic market uptake of AI enabled smart PV technology supported by standardisation efforts will generate demand for new, skilled professionals in areas joining competences in PV and AI/ML. This creates employment opportunities and contributes to society economic growth. Additionally, the growth of the renewable energy sector can stimulate private investments and foster innovation, leading to new business ventures and entrepreneurship.
Discussion on the AI assisted smart PV standards social impacts took place on the 2022 SET (Strategic Energy Technology) Plan Conference where I was invited as a speaker by the European Commission.The European Commission’s SET Plan Conference is a major European energy policy event, shaping the EU’s energy future.

The impact is potentially significant worldwide, as the European regulation on AI and its subsequent harmonised standards will be followed by any international company that wants to do business in Europe.

Standardised biometric data formats enable interoperability and exchanging system components like biometric capture devices, algorithms, storage systems

The standard promotes Biometric System-on-Card architecture, characteristics and interfaces. It is a technology that improves security and privacy for citizens in Europe and beyond, because personal data remains on a personal card.

Technology for Biometric System-on-Card (BSoC) has advanced significantly since the first publication of the ISO/IEC 17839 series from 2014-2016. This made an amendment of part 2 necessary in 2021 and a revision started 2022/2023. The major gaps are that the currently published standards partially refer to outdated technology and do not cover many recent industry developments in the field of BSoC. This includes enrolment methodologies, sensor and card manufacturing, but also processes and usage of biometric cards. The priority is to consider all inputs from national bodies, come to a consensus and progress the standard series according to the ISO business plan. Challenges are divers inputs from industry delegates targeting different solutions. It is important to include all contributions from national bodies while keeping the timeline mandated by the ISO business plan.