Towards Responsible Engineering Software: Ethical, Legal and Social Implications of Automated Design and AI-Driven Tools

Abstract

The accelerated innovation in Artificial Intelligence (AI) and Automation for engineering design is changing the way products, systems and infrastructure are conceived, optimized and deployed. Yet, this technological jump also involves a number of complex ethical, legal and social implications (ELSI) that go against the most fundamental cornerstones on which responsible engineering is based. The study, entitled “Towards Responsible Engineering Software: Ethical, Legal and Social Implications of Automated Design and AI-Driven Tools,” examines the consequences that new automated design systems driven by AI—such as generative design algorithms to autonomous decision-making systems—mean for accountability and transparency, amongst other responsibility areas. Taking its cue from the emerging fields of digital governance, engineering ethics and AI regulation, this paper considers questions ranging from algorithmic bias and intellectual property rights in relation to AI-generated designs to data privacy and human oversight within automated decision chains. Drawing on cross-disciplinary literatures in engineering ethics, law and the social sciences, our research attempts to outline an ethical model for responsible innovation pertaining to engineering software ecosystems. The results point to the urgency for versioned guidelines, explainable AI interfaces and human in the loop governance architectures to guarantee that technological efficacy should not subvert societal values, lawful compliance or moral accountability. Finally, the paper concludes by advocating for integrating ethical foresight and regulatory awareness into AI-based engineering tools in order to promote trust, fairness and sustainability in the future generation of design technologies.