AI Ethics for Engineers: Navigating Algorithmic Control

As algorithms increasingly shape human behavior and automated decision-making, engineers face a critical responsibility to design systems that respect autonomy and fairness. This text-only course equips you with the foundational frameworks to evaluate the ethical implications of artificial intelligence, identify algorithmic bias, and build responsible technology. What you'll learn: - Understand the core concepts of engineering ethics and algorithmic control - Analyze how machine learning models can inadvertently manipulate human behavior and decision-making - Identify and mitigate bias, fairness issues, and transparency gaps in AI systems - Apply modern ethical frameworks to real-world software and engineering scenarios - Evaluate the social impact of automated systems, privacy concerns, and data governance - Explore modern concepts of AI alignment, safety, and responsible deployment You will start with essential ethical terminology and foundational concepts before reading through practical case studies and modern frameworks that guide ethical design. This course is designed for aspiring engineers, developers, and tech professionals who want to understand the societal impacts of their work, with no prior background in philosophy or advanced programming required. Read this course to build a strong foundation in responsible engineering and ethical AI design.