Akademik Veri Yönetim Sistemi
Uluslararası 2.Mavişehir Mersin Bilimsel Araştırmalar Kongresi, 3-6 Mayıs 2025, Mersin, Türkiye, Mersin, Türkiye, 3 - 06 Mayıs 2025, cilt.1, sa.1, ss.400-404, (Tam Metin Bildiri)
ABSTRACT This paper explores the transformative impact of Artificial Intelligence (AI) technologies on organizational culture within the context of digital ethics, transparency, and the reconstruction of behavioral norms. It is grounded in the premise that AI is not merely a technical tool but a catalyst for normative and values-based transformation in organizations. As data-driven decision-making becomes more prevalent, it necessitates the redefinition of transparency, accountability, and ethical compliance within organizational settings. The study critically examines how traditional normative structures built through classical understandings of organizational culture are being challenged and reshaped by algorithmic management practices. The potential for AI to make ethically ambiguous decisions compels organizations to develop new digital ethics frameworks—requiring not only technical expertise but also heightened ethical awareness among organizational leaders. Transparency is argued to extend beyond system traceability to include the comprehensibility and contestability of AI-based decisions by employees and stakeholders. Organizational norms are no longer defined solely by written rules but increasingly by the criteria embedded in algorithms. In this context, the paper introduces and discusses emerging concepts such as “ethical algorithm design” and “organizational AI governance.” It argues that a culture shaped by AI can become more inclusive, ethically grounded, and accountable—ultimately enabling a meaningful transformation in human-machine interaction. As AI becomes increasingly embedded within institutional infrastructures, its influence extends beyond technical operations to reshape the fundamental dimensions of corporate culture. This paper investigates how AI accelerates organizational transformation by introducing new paradigms of digital ethics, enhancing transparency, and redefining behavioral norms. Drawing from corporate theory, digital ethics, and socio-technical systems, the paper advocates a proactive and reflective approach to restructuring organizational values in the age of AI. 402 Organizational culture reflects collective values, beliefs, and behavioral expectations. Traditionally shaped by human interaction and institutional practices, this culture is now rapidly evolving under the influence of AI. No longer limited to back-office automation, AI systems are now active in decision-making, recruitment, surveillance, and even ethical assessments. The infusion of machine logic into human systems offers both promise and peril—providing operational efficiency and data clarity while simultaneously challenging norms related to trust, accountability, and ethical reasoning. The core question is not simply whether AI can be integrated into corporate culture, but how AI-driven environments may either foster or jeopardize the reconstruction of digital ethics, transparency, and behavioral norms. Can AI contribute to a more ethical and transparent organizational culture, or does it risk increasing opacity and ethical detachment? Corporate culture is dynamic, historically evolving alongside changes in technological capabilities. With the advent of AI, this evolution accelerates, introducing novel influences— such as algorithms—into the moral and behavioral decision-making matrix. AI systems, particularly those using machine learning and natural language processing, affect how corporate values are communicated, implemented, and embodied. One fundamental shift is the transition of authority from human judgment to algorithmic reasoning. The growing role of AI in performance evaluations, promotions, and hiring decisions effectively embeds new values into organizational processes—values that may not always be transparent or aligned with traditional ethical standards. As algorithms become arbiters of fairness and efficiency, the norms they enact require critical scrutiny. Another cultural shift lies in the nature of surveillance and control. AI-powered monitoring tools offer unprecedented oversight of employee behavior and productivity. While this may enhance accountability, it can also lead to excessive surveillance and erosion of trust—key pillars of a positive organizational culture. Organizations must balance efficiency with autonomy and privacy, redefining ethical boundaries appropriate for the digital age. Digital ethics is not a static code but an evolving framework that must adapt to the context of AI. It addresses how decisions are made, who holds responsibility, and which values are prioritized in digital systems. Organizations must redesign their ethical infrastructures to accommodate the presence of AI agents. The cornerstone of this restructuring is the development and implementation of ethical AI frameworks—principles and protocols that ensure transparency, fairness, and human oversight in AI systems. A sound AI society is grounded in five core principles: beneficence, nonmaleficence, autonomy, justice, and explainability. These principles provide a normative foundation for embedding ethical reasoning into organizational AI systems. Organizations must not only adopt but operationalize these principles. This includes ethical impact assessments for AI tools, ethics review boards, and participatory design involving diverse stakeholders. Digital ethics training should be integrated into employee education, emphasizing that ethical responsibility remains a shared human duty, even in the presence of intelligent machines.AI systems often function as "black boxes," producing decisions through complex and opaque processes. This lack of interpretability undermines trust and accountability within organizations. Therefore, algorithmic transparency becomes a critical component in the evolution of organizational culture. Transparency involves more than revealing source code; it requires making algorithmic decisions understandable and debatable. Explainable AI (XAI) responds to this challenge by designing systems whose decisions can be interpreted by nonexperts, fostering a culture of informed oversight and shared responsibility. Furthermore, transparency must extend beyond the technology itself to include the organizational policies governing AI use. Who decides which algorithm to use? What data is collected and why? How is success measured? Addressing these questions openly reinforces trust and models ethical leadership. AI not only influences how decisions are made but also how behaviors are shaped and normalized. Predictive systems collect, analyze, and feed behavioral data back into decisionmaking processes, subtly reshaping expectations and roles. For example, algorithmic performance evaluations may prompt employees to adjust behaviors based on algorithmic compliance rather than intrinsic motivation. This could foster a culture of conformity in which creativity, dissent, and ethical questioning are marginalized. Organizations must be alert to this risk and actively cultivate a culture that values critical thinking, human judgment, and ethical reflexivity. Norms must be flexible enough to evolve with technology while remaining robust enough to preserve the humanistic values that define ethical organizations. A promising approach is to employ AI not only as a regulatory tool but also as a reflective one—for example, using AI to detect patterns of bias or exclusion and suggest corrective interventions. In this way, AI becomes an active agent in the process of constructing organizational norms. Keywords: Organizational Culture, Artificial Intelligence, Digital Ethics, Transparency, Behavioral Norms