Description
This course on AI for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, Ethical considerations, and policy considerations. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business, lab, organization, or community work more efficiently, creatively, and ethically.
Unique Features of this Course
– Explanation of AI with minimal jargon
– Beginner friendly for those who want to get started learning how to leverage generative AI
– Focus on the application for busy workplace leaders
– Emphasis on responsible and ethical use of AI
– Useful ideas for how to leverage tools to make your work better and more efficient
– A fun and playful approach to learning
Key Words
Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Data Science, Technology Leadership, Technology-driven Workplace
Intended Audience
– Professionals looking to understand AI at a strategic level
– Industry and non-profit leaders and decision makers
– Anyone curious about how AI can be harnessed for technology
Learning Objectives
– Identify common technologies and whether or not they are AI
– Explain the essential “behind the scenes” technology of how AI works
– Identify possibilities for using AI while understanding its limitations
– Describe key ethical concerns for using AI tools
– Recognize real-world examples of AI usage that has resulted in ethical debate
– Identify possible mitigation strategies for major ethical concerns with regard to the algorithms underlying AI tools
– Describe components of LLMs and other AI models and how training data is critical to their accuracy
– Identify what kinds of customizations and staffing needs your AI project requires
– Discuss a variety of low to high investment strategies for meeting customized knowledge needs
– Identify the key elements of a good AI policy
– Identify key legal categories relevant to AI use, including intellectual property, data privacy, and liability
– Identify strategies for building flexible and adaptable AI policies, such as living documents and separate best practices guidelines
