PROFESSIONAL ETHICS OF A DESIGN ENGINEER IN THE CONTEXT OF AUTOMATION AND AI IMPLEMENTATION IN THE AGRO-INDUSTRIAL COMPLEX

Abstract

Тhe article includes a study the transformation of the design engineer's role in the digital era: professional integrity and social responsibility. This research explores the fundamental shift in the professional paradigm of design engineering triggered by the rapid digitalization of the agro-industrial complex and the integration of Artificial Intelligence (AI). The study argues that the modern engineer has evolved from a traditional "developer of mechanisms" into an "architect of intelligent systems." This transformation introduces a new tier of ethical responsibility regarding the behavior of autonomous machines in unpredictable field environments, where algorithmic errors can lead to significant economic losses or irreversible environmental damage. A central focus is placed on the principle of Explainability (XAI), addressing the "black box" dilemma. The authors asserts that engineers have a moral obligation to ensure high levels of interpretability in AI-driven decisions, such as differentiated fertilization or automated object recognition, making the logic transparent for auditors and end-users. Furthermore, the paper prioritizes cybersecurity and system reliability over short-term economic gain. By adopting "Security by Design," engineers protect critical agricultural infrastructure from cyber-attacks and technological disasters, fulfilling their duty to safeguard public interests. The study also integrates the concept of anti-corruption resilience into engineering management. It highlights that professional integrity is essential for transparent procurement and the prevention of lobbying for low-quality equipment, which is vital for the reliability of critical assets. Within the context of the "Ecological Imperative," the research emphasizes designing systems that minimize anthropogenic impact on soil and reduce carbon footprints as a form of responsibility toward future generations. Finally, the social consequences of large-scale automation are analyzed. While acknowledging the risk of labor displacement for low-skilled workers, the authors proposes a "Human-Centric AI" approach. In this model, technology does not replace the human element but serves as an advanced tool to enhance labor productivity and occupational safety. The research concludes that social responsibility is the ultimate goal of engineering, while professional integrity is the indispensable means of achieving it, ensuring that technical mastery remains a safe and progressive instrument for society.