In the face of the climate crisis and sustainable development goals, Morocco is undergoing a dual energy and digital transition. This study examines how the perception of artificial intelligence (AI) and stakeholder engagement influence the acceptance of smart meters, a key technology for modernizing the Moroccan electric grid. Employing an exploratory qualitative approach, including comprehensive document analysis and focus groups on Casablanca, the study finds that transparency, community engagement, institutional trust and AI training are crucial for the social acceptability of the AMI project. The results highlight the challenges and expectations of various stakeholders, emphasizing the need for an integrated and participatory approach to successfully deploy smart meters in Morocco. This research adds valuable insights to the limited literature on the social acceptability of smart technologies in developing countries, providing practical recommendations and opening research avenues on the role of communication and engagement in AI projects in the energy sector.

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Artificial Intelligence and Smart Meters in Morocco: Commitment, Challenges, and Perspectives

  • Nissrine Majit,
  • Naila Amrous

摘要

In the face of the climate crisis and sustainable development goals, Morocco is undergoing a dual energy and digital transition. This study examines how the perception of artificial intelligence (AI) and stakeholder engagement influence the acceptance of smart meters, a key technology for modernizing the Moroccan electric grid. Employing an exploratory qualitative approach, including comprehensive document analysis and focus groups on Casablanca, the study finds that transparency, community engagement, institutional trust and AI training are crucial for the social acceptability of the AMI project. The results highlight the challenges and expectations of various stakeholders, emphasizing the need for an integrated and participatory approach to successfully deploy smart meters in Morocco. This research adds valuable insights to the limited literature on the social acceptability of smart technologies in developing countries, providing practical recommendations and opening research avenues on the role of communication and engagement in AI projects in the energy sector.