Conceptual essay analyzes moral agency in AI, proposing categories and responsibility-tracing protocols.
Are we afraid of AI, or of ourselves? is a research-informed conceptual essay on moral agency, responsibility and AI-mediated decisions. The essay argues that contemporary AI can amplify human goals, increase distance from consequences and become a moral alibi when institutional choices disappear behind statements such as “the system decided.” It distinguishes causal contribution, moral responsibility, accountability, blame and legal liability, while also examining genuine limits of human control, responsibility gaps and moral crumple zones. The essay proposes three interpretive categories: AI as amplifier, AI as moral buffer and AI as moral alibi. These categories are conceptual lenses developed for the essay, not validated psychological constructs or a diagnostic framework. It also introduces a six-part responsibility-tracing protocol covering goals, capabilities and limitations, practical control, decisions, contestability and repair. This publication is a selective narrative synthesis based on 28 sources, including 26 peer-reviewed journal or conference publications and two reports. It is not a systematic review, not original empirical research and has not undergone external peer review. Version 2.1.
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Feliks Mamczur (2026) studied this question.
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