An Historical Perspective and Conceptualization of AI Cyberculture: Ethical Foundations, Governance, and Empirical Propositions

Artificial intelligence (AI) is increasingly embedded in organizational decision-making, digital communication, and cultural production. This paper develops a historically grounded conceptualization of AI cyberculture—the shared norms, values, symbolic practices, and power relations that emerge from sustained human–AI interaction in networked environments. Synthesizing scholarship in information systems, cyberculture studies, and AI ethics, we propose a multidimensional framework with four interrelated dimensions: historical continuity, algorithmic mediation, cultural production, and governance. We foreground ethics by linking these dimensions to convergent normative principles (e.g., fairness, transparency/explicability, accountability, privacy, robustness, and human agency) and to governance instruments such as the OECD Recommendation on AI, the U.S. Blueprint for an AI Bill of Rights, and the NIST AI Risk Management Framework (Floridi & Cowls, 2019; Organisation for Economic Co-operation and Development, 2019; Tabassi, 2023; White House Office of Science and Technology Policy, 2022). The paper offers eighteen empirically testable propositions and associated constructs to support mixed-methods research on trust, legitimacy, identity, and power in AI-mediated settings. Implications are discussed for organizations and policymakers seeking to institutionalize responsible AI practices.