Journal of Product Design, Quality Engineering & Technology

Abstract

Artificial Intelligence (AI) is increasingly influencing product engineering, enhancing design efficiency, predictive maintenance, and performance optimization. However, the adoption of AI in engineering products introduces complex ethical challenges related to accountability, transparency, bias, and social impact. This paper critically examines the ethical implications of AI applications in product engineering. Key areas analyzed include decision-making autonomy, data privacy, bias in AI algorithms, sustainability, and the potential displacement of human roles. The study integrates case studies from automotive, consumer electronics, and industrial automation sectors to illustrate practical concerns. By reviewing existing ethical frameworks and proposing best practices, this paper aims to guide engineers, designers, and policymakers toward responsible AI integration in product engineering.

Keywords: AI ethics, product engineering, responsible AI, bias, transparency, sustainability, human-AI collaboration.