Humanization strategies as responses to Digital Leviathan dynamics
| Managerial strategy | Explanation |
|---|---|
| Emotion-driven Empathy | Digital Leviathan perspective views AI-based systems as dehumanized and robotic, that cause anxiety and isolation. Integrating emotional cues and mimicking human sensitivity and reactions might restore the sense of humanity in AI-based systems, thus making users more comfortable engaging with these systems. Digital Leviathan theory predicts that the monstrous image of the system becomes milder when it starts assuming the emotional touch of humanized governance |
| Explainability | The opacity of backstage operations causes customers to fear the unpredictable power of the system. The explainability of the system restores the social contract between the AI and users, echoing Hobbes' Leviathan (where order is upheld through mutual understanding and predictable rules), where user anxiety can be reduced, and trust can be fostered. Eventually, users may voluntarily engage with the AI system, as they believe it is fair, governed by rules and works in their best interest |
| Encryption issues | The attrition of the individual agency against the presence of digital systems is one of the major concerns in the digital Leviathan. The privacy concept should reflect a bounded Leviathan that functions under limits that both parties agree on, thus calling for a system that is not all-consuming “surveillance monster”. By this, managers introduce ethical boundaries and give clear control on how customers' data are gathered and handled |
| Engagement | Digital Leviathan theory highlights the issue of over-automation that impacts the social and relational warmth. Therefore, it leads to the rise of the image of mechanized Leviathan lacking human judgment and interpretation. Maintaining the balance between a powerful mechanical system and human judgment is crucial. Promoting engagement through more natural, human-like AI communications and enabling seamless access to human agents helps organizations preserve the humanized element within AI systems. Consequently, it will restore a sense of relational balance and maintain legitimacy that supports humanized governance |
| Managerial strategy | Explanation |
|---|---|
| Emotion-driven Empathy | Digital Leviathan perspective views AI-based systems as dehumanized and robotic, that cause anxiety and isolation. Integrating emotional cues and mimicking human sensitivity and reactions might restore the sense of humanity in AI-based systems, thus making users more comfortable engaging with these systems. Digital Leviathan theory predicts that the monstrous image of the system becomes milder when it starts assuming the emotional touch of humanized governance |
| Explainability | The opacity of backstage operations causes customers to fear the unpredictable power of the system. The explainability of the system restores the social contract between the AI and users, echoing Hobbes' Leviathan (where order is upheld through mutual understanding and predictable rules), where user anxiety can be reduced, and trust can be fostered. Eventually, users may voluntarily engage with the AI system, as they believe it is fair, governed by rules and works in their best interest |
| Encryption issues | The attrition of the individual agency against the presence of digital systems is one of the major concerns in the digital Leviathan. The privacy concept should reflect a bounded Leviathan that functions under limits that both parties agree on, thus calling for a system that is not all-consuming “surveillance monster”. By this, managers introduce ethical boundaries and give clear control on how customers' data are gathered and handled |
| Engagement | Digital Leviathan theory highlights the issue of over-automation that impacts the social and relational warmth. Therefore, it leads to the rise of the image of mechanized Leviathan lacking human judgment and interpretation. Maintaining the balance between a powerful mechanical system and human judgment is crucial. Promoting engagement through more natural, human-like AI communications and enabling seamless access to human agents helps organizations preserve the humanized element within AI systems. Consequently, it will restore a sense of relational balance and maintain legitimacy that supports humanized governance |
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