Cybersecurity and Artificial Intelligence in the EU Energy Sector Cover Image

Cyberbezpieczeństwo i sztuczna inteligencja w sektorze energetycznym UE
Cybersecurity and Artificial Intelligence in the EU Energy Sector

Author(s): Izabela Oleksiewicz
Subject(s): Energy and Environmental Studies, Governance, Public Administration, Public Law, Economic policy, Environmental and Energy policy, Government/Political systems, International relations/trade, Security and defense, Welfare systems, EU-Accession / EU-DEvelopment, ICT Information and Communications Technologies, Globalization
Published by: Wydawnictwo Naukowe Dolnośląskiej Szkoły Wyższej
Keywords: artificial intelligence;energy policy;cybersecurity;European Union;

Summary/Abstract: The huge amounts of data that pass through the energy sector create the need to implement new technologies and solutions using artificial intelligence techniques and algorithms. The subject matter related to this is to pave the way for the analysis of the fundamental research problem, which is the impact of artificial intelligence on increasing the resilience of energy networks and reducing the likelihood of interruptions in energy supplies caused by attacks in cyberspace. In general, artificial intelligence is expected to be one of the means to develop energy, security, economics, and reliability. The key to this article is to show the existing legal gap that applies to current Artificial Intelligence (AI), the energy sector, and cyberterrorism policy. This article has put forward the thesis that combining the platform under Artificial Intelligence and Energy Research gives a chance that an energy platform or market based on artificial intelligence can be a potential solution for new generation energy systems to include huge distributed renewable resources, and this possibility is provided by the NIS directive. With the progressive development of artificial intelligence tools, the sensitivity of the entire structure to the risks of cyberattacks is increasing. Hence, there is a need to secure systems associated with it, as there is a reasonable fear that it will be used for undesirable purposes

  • Issue Year: 14/2020
  • Issue No: 1
  • Page Range: 221-238
  • Page Count: 18
  • Language: Polish