Experiments in ARTificial Intelligence Schedule 2022

Experiments in ARTificial Intelligence Schedule

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AI Schedule 2022

Thursday 08.25
Week 1: Introduction and Setup
Content:
- Syllabus Review
- Intro to Experiments in ARTificial Intelligence
- Intro to Art, Artists and AI
- SCREEN: Naked AI
Assignment:
- Complete the reading(s) below and post reflections on Canvas (due: Tuesday, Aug. 30.)
- BOOKMARK: UF LinkedIn Experiments in ARTificial Intelligence Playlist
- Sign up for DALL•E 2 Preview HERE
- Join Midjourney Discord. See instructions HERE
- Join Class Discord. Link provided in class.
- Research the work of Heather Dewey-Hagborg and prepare questions.
Readings:
- Slocombe, Will. “Machine Visions: Artificial Intelligence, Society, and Control.” In AI Narratives, Cave, Dehal, Sarsvati et.al, 213–36. Oxford University Press, 2020.
Tuesday 08.30, Thursday 09.01
Week 2: What is AI? History of Machine Intelligence
Content:
- Discuss reading(s) assigned last week.
- HiPerGator Training: Go to UF Coursera Training and take HiPerGator Account Training (due: Tuesday, Sept. 06). More info and a link to the REQUIRED Coursera Training: HERE.
- WATCH: UF LinkedIn Experiments in ARTificial Intelligence Playlist - Unix Essential Training
- Experiment with Midjourney and DALL•E 2 - post favs to class Discord.
- REQUIRED: Attend Visiting Artist Heather Dewey-Hagborg's talk tonight at 6:15PM
Assignment:
- Complete the reading(s) below and post reflections on Canvas for discussion next week.
- BE SURE YOU'VE completed the Unix tutorial AND the HiPerGator Training
Readings:
- Crawford, Kate with Hao, Karen. “Stop Talking about AI Ethics. It’s Time to Talk about Power.” n.d. MIT Technology Review, April 23, 2021.
Tuesday 09.06, Thursday 09.08
Week 3: Art, Artists and AI
Content:
- Discuss reading(s) assigned last week.
- SCREEN: Coded Bias
- STUDIO: BASH Terminal + HiPerGator setup, Development Environment Configuration
- DEMO: Introduction to AI techniques
- Slides for Research Computing Orientation.
- ZSH Setup for FAC302 Macs: HERE
- How to Setup and Use HiPerGator: HERE
Assignment:
- Complete the reading(s) below and post reflections on Canvas.
- Assignment 1: Experiment with Midjourney and DALL•E 2, prepare for CRIT, post reflection to Canvas.
Readings:
- Steyerl, Hito. "Medya: Autonomy of Images" in Astro Noise: A Survival Guide for Living under Total Surveillance. by Laura Poitras, New York: Whitney Museum of American Art, 2016. pp. 162-177
Tuesday 09.13, Thursday 09.15
Week 4: Image Classification 1
Content:
- Discuss reading(s).
- CRIT: Assignment 1 - Midjourney/DALL•E 2 experiments.
- SCREEN: Lo and Behold: Reveries of the Connected World, by Werner Herzog
- Intro to P5.js and ml5.js
- Learn to implement basic image classification using existing machine learning models.
Assignment:
- Complete the reading(s) below and post reflection on Canvas.
- Assignment 2 - Create a network-based artwork using p5.js that incorporates still imagery, video and, optionally, some form of interaction.
Readings:
- Mackenzie, Adrian. “The Production of Prediction: What Does Machine Learning Want?” European Journal of Cultural Studies 18, no. 4–5 (August 1, 2015): 429–45.
Tuesday 09.20, Thursday 09.22
Week 5: Image Classification 2
Content:
- FIELD TRIP: Tour of HiPerGator AI at UF High Performance Data Center (Tuesday)
- Discuss reading(s).
- Saving and loading training models, exploring multiple techniques.
- Google Colab and Jupyter Notebooks and using them with HiPerGator
Assignment:
- Assignment 3 - Image Classification and/or Object Detection Artwork
Readings: None
Tuesday 09.27, Thursday 09.29
Week 6: Object Detection, Computer Vision
Content:
- CRIT: Assignment 2 - P5.js artwork (Tuesday)
- Learn to implement Object Detection.
Assignment:
- Complete the reading(s) below and post reflection on Canvas.
Readings:
- Boden, Margaret A., and Ernest A. Edmonds. “Explaining the Ineffable.” In From Fingers to Digits: An Artificial Aesthetic, 61–89. The MIT Press, 2019.
Tuesday 10.04, Thursday 10.06
Week 7: Neural Networks and Transfer Learning
Content:
- CRIT: Assignment 3 - Cancelled
- Discuss reading(s).
- What is a Neural Network?
- Use ml5.js to create and train your own neural network.
- REGISTER: AI Days
- ESPECIALLY REGISTER FOR: AI Hackathon
- STUDIO: Let's start with Stable Diffusion using the Deforum notebook!
Assignment:
- Experiment with neural networks.
Readings: None
Tuesday 10.11, Thursday 10.13
Week 8: Working with a Supercomputer
Content:
- How to work with UF's HiPerGator -> Step by Step
- Begin to work with HiPerGator and Jupyter notebooks: Deforum, Disco Diffusion, Stable Diffusion, VQGAN, etc.
- DEMO: Stable Diffusion Jupyter Notebook (Deforum)
Assignment:
- Complete the reading(s) below and post reflection on Canvas.
- Assignment 4 - Create an artwork using Guided-Diffusion.
Readings:
- Droitcour, Brian. “GANs and NFTs.” ARTnews.Com (blog), May 28, 2021.
Tuesday 10.18, Thursday 10.20
Week 9: HiPerGator AI
Content:
- Discuss reading(s).
- Continue to work with HiPerGator and Jupyter notebooks: Deforum, Stable Diffusion, Disco Diffusion, VQGAN, etc.
- Is Cryptocurrency the Magic Bullet for Social Change?
Assignment:
- Assignment 4 - Work on Assignment 4
Readings: None
Tuesday 10.25, Thursday 10.27
Week 10: Guided Diffusion - Stills + AI DAYS
Content:
- Learn about text to image or CLIP-guided diffusion systems (Disco Diffusion, Stable Diffusion, etc.).
- Prompt engineering, parameters, models.
- STUDIO - Experiment with techniques, develop project
- AI Days at Emerson Alumni Hall (Thursday and Friday)
Assignment
- Finish Project 4 and prep for Critique - PRINT your work and hang it before class begins, Tuesday.
Readings: None
Tuesday 11.01, Thursday 11.03
Week 11: Guided Diffusion - Animation + IMAGE OF WIDE SCOPE
Content:
- CRIT: Assignment 4 - Guided-Diffusion Artwork
- STUDIO - Experiment with techniques, develop project
- GUEST: Dr. Gregory L Ulmer will facilitate our exploration of The Image of Wide Scope (Thursday)
Assignment:
- Assignment 5 - Create an Experimental AI Artwork
- Complete the reading(s) below and post reflection on Canvas.
Readings:
- Agostinelli, Erika. “‘I Don’t Trust AI’: The Role of Explainability in Responsible AI.” Erika Agostinelli, April 1, 2021.
- Women in Data Science, Bristol 2021 - Agostinelli Crowdcast begins at 1:13:19
Tuesday 11.08, Thursday 11.10
Week 12: Guided Diffusion - Animation
Content:
- Discuss reading(s).
- How to create animations with Disco Diffusion and/or Deforum (Stable Diffusion).
- STUDIO - Experiment with techniques, develop project
- Brainstorm and begin to research your final project!
Assignment:
- Develop your final project. EXPERIMENT!
- BEGIN: Final Project, brainstorm and prepare to present concept in class on Tuesday.
- Complete the reading(s) below and post reflection on Canvas.
Readings:
- Crawford, Kate, and Trevor Paglen. “Excavating AI.” -. Accessed May 12, 2021.
- Crawford, Kate. “Time to Regulate AI That Interprets Human Emotions.” Nature 592, no. 7853 (April 6, 2021): 167–167.
Tuesday 11.15, Thursday 11.17
Week 13: EXPERIMENTS
Content:
- CRIT: Assignment 5 - Experimental AI Artwork
- Review Final Project concepts.
- STUDIO - Develop AI Final artwork.
Assignment:
- Continue work on Final Project - AI artwork
Readings:
Tuesday 11.22, Thursday 11.24
Week 14: AI EXPERIMENTS - NVIDIA Jetson
Content:
- DEMO: NVIDIA Jetson Nano
Assignment:
- Continue work on Final Project - AI artwork
- Complete the viewing below and post reflection on Canvas.
Readings:
- Manovich, Lev. AI and the Myth of Creativity, DigitalFUTURES world. Digital Consortium Lecture - The Hitchhiker’s Guide to Artificial Intelligence. Accessed August 5, 2021.
Tuesday 11.29, Thursday 12.01
Week 15: AI EXPERIMENTS - NVIDIA Jetson
Content:
- Experiment with NVIDIA Jetson Nano
- STUDIO - Develop your Final Project
Assignment:
- Continue work on Final Project
- READ:The Illustrated VQGAN
Readings: None
Tuesday 12.06
Week 16: Final
Content:
- Critique Final Projects
- NFT Discussion at Art Basel Miami
- New Study on NFTs Deflates the “Democratic” Potential for the Medium
Assignment: NoneReadings: None
Friday 12.16
Exam Week: Final Exams - UF Official Exam time: 7:30AM - 9:30AM.
FINAL CRITIQUE: Black Box

Experiments in ARTificial Intelligence Schedule

Week 1: Introduction and Setup

Week 2: What is AI? History of Machine Intelligence

Week 3: Art, Artists and AI

Week 4: Image Classification 1

Week 5: Image Classification 2

Week 6: Object Detection, Computer Vision

Week 7: Neural Networks and Transfer Learning

Week 8: Working with a Supercomputer

Week 9: HiPerGator AI

Week 10: Guided Diffusion - Stills + AI DAYS

Week 11: Guided Diffusion - Animation + IMAGE OF WIDE SCOPE

Week 12: Guided Diffusion - Animation

Week 13: EXPERIMENTS

Week 14: AI EXPERIMENTS - NVIDIA Jetson

Week 15: AI EXPERIMENTS - NVIDIA Jetson

Week 16: Final

Exam Week: Final Exams - UF Official Exam time: 7:30AM - 9:30AM.