Artificial Intelligence (AI) is reshaping research, engineering, and digital fields, becoming an essential tool for analyzing data, automating processes, and generating new content. As AI technologies advance, researchers, faculty, and students must navigate both the technical aspects of machine learning models and the ethical implications of AI-driven decision-making. This guide provides a comprehensive overview of AI’s theoretical foundations, practical tools, and research applications, helping users move beyond basic chatbot interactions to understand how AI can be integrated into academic and professional work.

This LibGuide is designed for researchers in the humanities who are incorporating computational methods into their work. It covers the fundamentals of AI, including machine learning, deep learning, and generative models, as well as hands-on tools such as TensorFlow, PyTorch, and cloud-based AI services. Additionally, it addresses the ethical considerations of AI, including bias, privacy, and responsible use in academia. Whether you are conducting research, developing AI-powered applications, or incorporating AI into coursework, this guide offers resources to support your work.

For more campus information, please visit:
https://its.uiowa.edu/using-ai-academics-and-research