This guide, aligning with Rider University's commitment to engaged learning and ethical leadership, aims to support the university community as it navigates the rapidly evolving field of artificial intelligence. With a focus on the ethical and societal implications of these technologies, this guide will:

• Identify and curate essential resources for researching AI and machine learning across all academic disciplines.

• Curate a dynamic list of leading online blogs, reports, and portals to help the community stay current on the latest developments in AI within academia and industry.

• Offer guidance and resources for the thoughtful and responsible integration of AI into teaching, learning, and research practices at Rider.