Responsible and Ethical AI in Industrial Contexts

As artificial intelligence (AI) integration accelerates within industrial sectors, the imperative for responsible and ethical implementation becomes critical This chapter addresses this urgency by exploring the core principles of fairness, accountability, transparency, and human-centric values essential for sustainable industrial evolution. Aligning with the book's theme of human-AI cognitive collaboration, it serves as an ethical compass, examining the significant ethical challenges and risks inherent in industrial AI, including bias, privacy, and safety. It proposes robust frameworks for responsible deployment, analyzes principles like explainability and human-centered design, and draws on case studies and international governance models. The objective is to demonstrate how embedding ethics fosters trust, safety, and long-term value creation, providing actionable strategies to ensure human-AI collaboration evolves equitably and sustainably.