Il Consiglio Direttivo AIIC nella sua riunione del 17 Aprile 2024 ha approvato la nascita del GdL “Critical Infrastructures Resilience and Artificial Intelligence” (Resilienza delle Infrastrutture Critiche e Intelligenza Artificiale). Tutti i Soci AIIC che intendono partecipare sono invitati a manifestare la loro disponibilità entro il 24 Maggio 2024, mandando una mail al Coordinatore s.bologna@infrastrutturecritiche.it e per conoscenza alla Segreteria segreteria@infrastrutturecritiche.it  Di seguito i dati salienti del GdL proposto.

Coordinatore: Sandro Bologna
Data inizio lavori: 01.06.2024
Durata max: 12 mesi
Lingua di redazione: inglese
Riferimenti: tutti i Documenti a cui si fa riferimento sono disponibili nella Homepage del sito AIIC

Descrizione del GdL e lista degli argomenti trattati

A possible index for the Report on “Critical Infrastructures Resilience and Artificial Intelligence” could be the following. This index provides a comprehensive framework for exploring the intersection of resilience, critical infrastructure, and artificial intelligence, covering various aspects such as understanding resilience, AI applications, case studies, risk assessment, policy considerations, technological innovations, ethical implications, and future directions.

1. Introduction

  • Background and significance
  • Purpose of the report
  • Overview of critical infrastructures resilience and AI integration 

2. Critical Infrastructures Overview (referring to Directive (EU) 2022/2557 of the European Parliament)

  • Definition and types of critical infrastructures
  • Key sectors and their significance
  • Challenges facing critical infrastructures

3. Understanding Resilience (referring to AIIC Report February 2016 “Guidelines for Critical Infrastructure Resilience Evaluation”)

  • Definition of resilience
  • Importance of resilience in critical infrastructures
  • Factors affecting resilience

4. Role of Artificial Intelligence in Critical Infrastructures

  • Applications of AI in critical infrastructures
  • Benefits and opportunities
  • Risks and challenges

5. Resilience Frameworks and Models (referring to AIIC Report February 2016 “Guidelines for Critical Infrastructure Resilience Evaluation”)

  • Existing frameworks for assessing resilience
  • Relevant models and methodologies
  • Adaptation of resilience frameworks for AI integration

6. Risk Assessment and Management (referring to AIIC Report October 2023 cap. 3 “Resilienza delle Infrastrutture Critiche e Cambiamenti Climatici”)

  • Identification of risks in critical infrastructures and AI systems
    • Risk assessment methodologies
    • Strategies for risk mitigation and management

7. Technological Innovations (referring to AIIC Report February 2018 “Big Data Analytics for Critical Infrastructures Resilience” and AIIC Report June 2020 “Internet of Things (IoT) in the context of Critical Infrastructures)

  • Emerging technologies enhancing resilience
  • Role of IoT, blockchain, etc.
  • Integration of AI with other technologies for resilience

8. Ethical and Societal Implications (referring to AIIC Report June 2020 cap. 8 “Internet of Things (IoT) in the context of Critical Infrastructures”)

  • Ethical considerations in resilience planning
  • Social impacts of resilient infrastructures and AI systems
  • Equity and accessibility concerns

9. Policy and Regulation (referring to AIIC Report June 2020 cap. 8 “Internet of Things (IoT) in the context of Critical Infrastructures”)

  • Government policies and regulations governing critical infrastructures and AI
  • Compliance requirements
  • Future policy considerations

10. Future Directions

  • Anticipated trends in critical infrastructures and AI integration
  • Research gaps and areas for further exploration
  • Recommendations for future actions

11. Case Studies

  • Real-world examples of resilience in critical infrastructures and AI systems
  • Success stories and lessons learned
  • Challenges faced and strategies employed

12. Conclusions

  • Summary of key findings
  • Final thoughts on the resilience of critical infrastructures and AI
  • Call to action