Societal security and trust in digital societies: a socio-technical perspective

Muringani, Jonathan; Noll, Josef

doi:10.1109/cmi53512.2021.9663764

Cited by 3 publications

(1 citation statement)

References 49 publications

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“…In collective action problems, individuals should work together for a common good or to resolve a common problem, even if their individual goals may be in conflict with the common goal, and each other's goals [2]. In many large-scale, ubiquitous computing systems for the Digital Society, a pervasive challenge lies: it may be difficult for an individual to recognze that they are involved in a collective action situation or, that any small individual action can contribute to resolving a problem [16]. The lack of coordination and synchronization of individual actions may lead to diminishing the available common resources [4].…”

Section: Introductionmentioning

confidence: 99%

Trust & Fair Resource Allocation in Community Energy Systems

Bhattacharya,

Rousis,

Bourazeri

2024

IEEE Access

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The energy sector faces numerous challenges, including rising electricity costs and inconsistent services due to network overload, often requiring the involvement of a central network operator to address these issues. However, a user-centric approach that prioritizes demand-side management, exemplified by decentralized Community Energy Systems (dCES), presents a promising solution to energy distribution and supply network challenges. dCES can be conceptualized as a small-scale, dynamic distribution network seamlessly integrated into the broader framework of the Smart Grid. In this paradigm, prosumers play an active role, as they must contribute to and draw from a shared energy resource pool, with the overarching goal of avoiding depletion. Specifically, various individuals with different energy consumption patterns and preferences work together to solve collective action problems, i.e., blackouts. Motivated firstly by fair resource allocation, and secondly by the idea that trust is a crucial factor for successful collective action among diverse individuals, we developed a suitable Multi-Agent System (MAS) for dCES to prevent resource depletion. Our experimental results show that introducing trust into dCES can lead to successful collective action, resulting in stable energy networks.

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Section: Introductionmentioning

confidence: 99%

Trust & Fair Resource Allocation in Community Energy Systems

Bhattacharya,

Rousis,

Bourazeri

2024

IEEE Access

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IT Operating Model Renewal Challenges and Solutions: A Multiple Case Study of Oil and Gas Firms

Suleman,

Pekkola,

Ralyté

et al. 2024

2024 26th International Conference on Business Informatics (CBI)

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Trust in artificial intelligence: Producing ontological security through governmental visions

Schmid,

Pham,

Ferl

2024

Cooperation and Conflict

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With developments in artificial intelligence (AI) widely framed as security concern in both military and civilian realms, governments have turned their attention to regulating and governing AI. In a study of United States (US), Chinese, and European Union (EU) AI documents, we go beyond instrumental understandings of AI as a technological capability, which serves states’ self-interests and the maintenance of their (supra)national security. Our specific interest lies in how AI policies tap into both problem-solving approaches and affective registers to achieve both physical and ontological securities. We find that in governmental visions, AI is perceived as a capability that enhances societal and geopolitical interests while its risks are framed as manageable. This echoes strands within human–computer interaction that draw on human-centered perceptions of technology and assumptions about human–AI relationships of trust. Despite different cultural and institutional settings, the visions of future AI development are shaped by this (shared) understanding of human–AI interaction, offering common ground in the navigation of innovation policies.

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Societal security and trust in digital societies: a socio-technical perspective

Cited by 3 publications

References 49 publications

Trust & Fair Resource Allocation in Community Energy Systems

Trust & Fair Resource Allocation in Community Energy Systems

IT Operating Model Renewal Challenges and Solutions: A Multiple Case Study of Oil and Gas Firms

Trust in artificial intelligence: Producing ontological security through governmental visions

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