The class includes weekly class-wide discussion forums (primarily on Moodle, some discussion in person). Most discussions will be case studies on specific technologies.
Each week we’ll choose a different technology (or sometimes another type of question). See the “Contents” below for the list; specific links will be given each week.
We’ll focus our discussion on these questions:
These are far from the only useful questions. Other questions to ask might be:
You might also pose a question of your own!
Students sign up for a topic on a sign-up sheet (see Moodle for link). A list of suggested topics is provided but you may choose your own.
Prepare a brief summary of your topic to present to the class. Suggestions for the presentation:
You’ll also give an outline about the topic, as a reference for the discussion.
The presenter will also prepare an outline about the topic, like those listed in the list below. Ideally you can contribute this to the class GitHub repository (the source code for the website), so that whoever wants to present on this next year (or beyond) could start with that writeup and update it.
Documents on this website are written in Markdown with a header for metadata. Here’s a template you can start with:
---
title: "Your Topic"
author: "Your name"
---
## Quote
> optional quote or Scripture reference
>
> source
## Background
### What is it
A very brief description of what it is.
### Uses
- what are various groups using it for?
- give a few examples, both "good" and "bad"
### Who
- A list of some actors in the field
- This could be companies using it, researchers studying it, ...
### Potential concerns
- bullet point summary of potential concerns
- each bullet can give a brief description of that concern
### News
- a few links
- to some recent news articles
- on the topic
## Provocations
- a provocative question
- another provocative question
## Further reading
- some other resources
face_reco.md or vehicles.md.You may also just send the file directly to the instructor. But if you do the above, you’ll get credit on GitHub as a contributor to the course repo.
At the end of the course, you’ll write a short essay for a nontechnical audience about the broader issues raised by an AI topic of your choice. You may choose a topic of one of the discussion forums or listed on the topic sign-up sheet; if you would like to write about a topic other than those, please ask the instructor for approval first.
Your essay should address all of the applicable questions in the “Questions about Technologies” section above.
You are strongly encouraged to make connections to the topic of your course project, where possible.
Aim for a length between 600 and 1000 words, but more importantly, aim to be clear while being concise.
You are encouraged to discuss these issues with other students, such as those in your project team; however, the writing should be your own.