This module breaks down the complexity of AI into digestible examples and analogies, helping to bring the theoretical concepts of AI to life by highlighting key applications and industry disruptions. It includes an AI intro, a timeline of how AI has evolved, the key components and different elements of AI, and an overview of data types and their use cases.

This module provides an overview of how Generative AI applies to higher education, with potential applications for students, faculty, and administrators. It also covers the unique context of HBCUs and how to tailor AI solutions to them and promote diversity in AI. It includes an overview of potential applications in Higher Education, a review of key advantages of AI, identification of the primary bias risks inherent with AI, and the importance of AI literacy, education, and initiatives to increase representation.

This module covers Deloitte’s seven-part Trustworthy AI™ framework, highlighting the importance and role of each portion in designing an ethical and healthy AI system that fosters diversity in AI. It includes a description of what constitutes trust in AI development and application, the need for trust to reach AI’s greatest potential and reduce risk, an overview of different domains in the Trustworthy AI™ framework, and the role of AI governance and implications for regulatory compliance.

This module introduces key legal topics and sets the stage for a series of AI masterclass debates in which actors representing personas from both sides (e.g., the “Business Person” and the “Artist”) will demonstrate the duality and complexity of these topics. It includes background on copyright law and its applications, an overview of privacy law and data subject rights, an analysis of pursuing AI development and the risks of misusing the technology, and takeaways on what to expect given the fluid nature of many AI legal topics.

This module presents key statistics and concepts of how AI is transforming work. It sheds light on a recent “Prompt-a-thon” that uncovered innovative use cases for using AI tools. Important skills students should prioritize are also addressed. It includes findings about how AI is impacting the workforce/workplace, common questions and challenges facing organizations, obstacles that organizations will encounter in embedding AI into their DNA, and opportunities for equipping the workforce with a comprehensive AI intro and AI-related skills.