# mk-working-doc-20240501

## quick ai presentation

### structure

- showing off some of the work we saw students doing with Generative AI this year
- students enrolled in courses where faculty are experimenting with GAI
- also the student fellows who work at the Bok Center to support these courses
- so apologies for the alphabet soup of abbreviations and acronyms
- MDF
- LLUF
- GAICA
- chatbots
- hunt lambert bot
- poet and critic bot
- tdm character bots
- emergent fun
- multimodal things
- stable diffusion with controlnet for video games
- for intro activity
- for ballet
- for live storytelling and augmentation
- from the table to X
- reflecting on culture, ethics, identity
- revised_prompts
- recursive image generation

### get

photos of opposites

### examples:

First: apologies for the alphabet soup of acronyms, but just since I'm going to use them a lot

- mdfs with the visual essay machine
- mdf afvs Julia creating a colab where students can use the vision API to analyze their work, clusters of works, etc.
- TDM course with slackbot characters in dialogue
- cl200 with function calling
- image manipulations
- ballet dancers
- pose analysis
-
- emr analysis of the ethics of AI
- recursive image production and description
- log-every-minute-bot and other single-purpose tools?

### classifying

so we've seen students using Generative AI in these ways:
- as a reflection of cultural assumptions to interrogate (EMR)
- where are statistically likely patterns of language and cultural associations useful in the teaching and learning process
- as a way of
- to create
- through learning the GAI tools, prototyping ways of creating with them
- and, relatedly, learning THROUGH creating with them

### maybe?
- node callbacks vs dialogues
- rather than replacing ideas, documenting, organizing, augmenting
-

### help from DD

- just cite course and prof name
- list faculty names (full names)
-

## image dev

duotone (to match block prints)
- phot