CS357: Foundations of AI
Bill Mongan
Welcome to CS357!
About Me

- Born in Delaware County, PA
- Married in Carmel, CA in 2015
About Me
- Upper Darby High School Class of 2000
- Drexel University Class of 2005
- Completed my PhD at Drexel in 2018

About Me
- I am a private pilot who loves to travel
About Me
- We love animals
- … plus some occasional visitors!

About Me
- I use computing (specifically Machine Learning and Signal Processing)…
- To improve public health
- To leverage technology to mitigate side-effects and to improve access to care

What this Course is About
- Analyze the ethical implications of AI applications in non-pedagogical campus operations, research, and classroom instruction, using case studies and design justice principles.
- Design tailored AI-driven tools and prompt-engineering strategies that augment human capabilities while adhering to ethical guidelines.
Our Goals
- Evaluate the effectiveness of AI systems across different disciplines, identifying best practices and potential risks associated with their use.
- Create documentation and strategic plans for the responsible deployment of AI technologies in campus operations, ensuring that these plans are both practical and ethically sound.
Our Goals
- Describe the transformative potential of AI in augmenting human creativity, critical thinking, and decision-making processes across various fields.
- Apply ethical considerations in AI development and deployment, particularly in preventing biases and ensuring equitable outcomes.
Our Goals
- Articulate the limitations of AI when used out-of-the-box and the need for careful customization and prompt engineering to achieve desired results.
- Engage meaningfully in cross-disciplinary collaboration in AI research and application, understanding how insights from different fields can lead to more robust and responsible AI systems.
Class Logistics and Culture