This course delves into the ethical dimensions of integrating artificial intelligence (AI) into engineering practices. Participants will explore foundational concepts of ethics in engineering and AI, examining various ethical frameworks and theories that inform responsible decision-making.

Topics include addressing bias and promoting fairness in AI systems, ensuring transparency and explainability in AI algorithms, and navigating privacy and security concerns associated with AI applications. Participants will also examine issues of accountability and responsibility in AI development, considering the ethical implications of AI-driven decision-making processes.

Furthermore, the course explores the social and environmental impacts of AI in engineering contexts, emphasizing the importance of considering broader societal implications in AI implementation.

Who This Course Is For:

This course is designed for engineers, AI professionals, researchers, and policymakers involved in the development, implementation, or regulation of AI technologies in engineering domains. It is also suitable for individuals interested in understanding the ethical considerations and challenges associated with AI integration in engineering practices. Whether you are working in industry, academia, or government, this course provides essential insights into fostering ethical AI innovation and responsible engineering practices.