Artificial Intelligence (AI) Literacy

Artificial Intelligence is changing the world. It is changing jobs, creating them, and even replacing them (but less than you think). More than everbefore, companies need employees who can use AI tools to solve problems creatively and responsibly. This non-technical AI crash course builds the foundational skills needed to do that and is designed to be valuable to anyone. Learn how to distinguish problems that AI is useful for, master prompt engineering to improve outputs, detect AI-generated output, analyze ethics and privacy, and stay up-to-date on one of the most transformative technologies of our lifetimes.

Artificial Intelligence decisions are often only as good as the person asking the question. In this course, you'll learn how to ask the right ones and increase the productivity and innovation you can achieve with AI. Create better prompts,compare and contrast strengths and limitations, evaluate outcomes, and by the end of this course, understand and leverage the power of AI for decision-making across any discipline, opening up new career paths and personal growth.

Generative AI has introduced a new paradigm of AI the co-creator. Top professionals and companies use AI to improve productivity and creativity every day, and in this course, you'll learn the iterative prompting, search, and functional evaluation metrics powering these uses. By the end of this course, you'll integrate AI tools into a variety of creative skill sets, and your own projects, building new avenues for creativity in your career.

This course critically examines ethical considerations surrounding the development and deployment of artificial intelligence now and in the future. Students will explore fundamental philosophical ethical theories such as Utilitarianism, Deontology, and Virtue Ethics which will shape concepts such as fairness, transparency, and accountability. Through a combination of discussions, case studies presentations, and practical applications, students will critically assess issues like algorithmic bias, privacy, moral responsibility, the use of autonomous vehicles, and weapons, and the implications of automation on employment. The course aims to equip students with the analytical skills necessary to navigate the ethical dilemmas faced by AI practitioners and to foster a responsible approach to the advancement of technology in society.