Responsible and Ethical AI

(3 Credit Hours) · Undergraduate

This course provides a comprehensive exploration of the intersection between artificial intelligence and ethical responsibility, equipping students with the knowledge and critical thinking skills necessary to navigate the challenges of AI deployment in society. Beginning with foundational concepts, students will gain insight into machine learning, neural networks, and data-driven decision-making, setting the stage for discussions on the ethical concerns that arise from these technologies, including bias, privacy risks, and transparency issues. Through real-world case studies in domains like healthcare, finance, social media, and governance, students will evaluate both the promises and perils of AI, applying ethical frameworks such as deontology, utilitarianism, and fairness guidelines to propose responsible solutions. The course further examines pressing topics such as data privacy, AI accountability, regulation, and governance, providing a global perspective on AI policy efforts and industry standards. As AI continues to shape the workforce, the environment, and public trust in media, students will critically engage with its societal impact, debating automation, misinformation, and the digital divide. By the end of the course, students will synthesize their knowledge through discussions, project presentations, and reflections on future trends, ensuring they emerge as informed and ethical contributors to the evolving AI landscape.