Assessment and Decision-Making in Universities: Analytics of the Administration-Staff Compromises

Semenets, Valerii; Terziyan, Vagan; Gryshko, Svitlana; Golovianko, Mariia

doi:10.48550/arxiv.2105.10560

Cited by 1 publication

(2 citation statements)

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“…In [18], special analytics has been developed for sustainable collaborative decisionmaking, which (a) is based on explainable AI; (b) capable to support collaborative (human + AI) decision-making; (c) resilient against "cognitive hacking" attacks on the individual (human or AI) decision makers due to special compromise decision-making techniques and "transparent minds" of the decision makers (shared individual value systems). This analytics and its sustainability have been tested within the collective awareness platform (Semantic Portal TRUST) for real collaborative decision processes (academic assessment and selection), which includes multiple decision makers including autonomous AI-driven ones.…”

Section: Immune Project Puzzlesmentioning

confidence: 99%

“…For that purpose the Web environment (Portal "TRUST" http://portal.dovira.eu/) has been designed to host such personal value systems and to make various academic analytical assessments on top of it [23]. Recent publications on the portal ( [18] and [19]) have shown how to make complex analytical assessments in an academic environment where different value systems compete (both in the administrative vertical and each employee separately). It has been proven that it is possible to positively influence the collective mindset, but at the same time respect and strengthen (making more robust and resilient against HTs) everyone's individual academic values (whatever they may be).…”

Section: Adversarial Training In Universities As Academic Response To...mentioning

confidence: 99%

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Hybrid Threats against Industry 4.0: Adversarial Training of Resilience

Kaikova

Terziyan²,

Tiihonen³

et al. 2022

E3S Web Conf.

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Industry 4.0 and Smart Manufacturing are associated with the Cyber-Physical-Social Systems populated and controlled by the Collective Intelligence (human and artificial). They are an important component of Critical Infrastructure and they are essential for the functioning of a society and economy. Hybrid Threats nowadays target critical infrastructure and particularly vulnerabilities associated with both human and artificial intelligence. This article summarizes some latest studies of WARN: “Academic Response to Hybrid Threats” (the Erasmus+ project), which aim for the resilience (regarding hybrid threats) of various Industry 4.0 architectures and, especially, of the human and artificial decision-making within Industry 4.0 processes. This study discovered certain analogy between (cognitive) resilience of human and artificial intelligence against cognitive hacks (special adversarial hybrid activity) and suggested the approaches to train the resilience with the special adversarial training techniques. The study also provides the recommendations for higher education institutions on adding such training and related courses to their various programs. The specifics of related courses would be as follows: their learning objectives and related intended learning outcomes are not an update of personal knowledge, skills, beliefs or values (traditional outcomes) but the robustness and resilience of the already available ones.

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Section: Immune Project Puzzlesmentioning

confidence: 99%