Outline
In this lab you will:
- reflect on the goals you set for your artefact or performance design
- review the assessment criteria
- discuss your artefacts (code, art and documentation) with your instructor
- explore and potentially implement some variations to your portfolio item
Introduction
Welcome back creative coders! It’s another week of working on your portfolio item. As we mentioned last week, the class will turn into a studio space where you come along and work on your portfolio item and seek feedback on your work. As a consequence, there will be less structured material in the lab web pages until Portfolio Item 2.
Portfolio Item 2 is due on Friday 5 July 2024.
Do: If you haven’t already, Fork and Clone the portfolio repo for your portfolio item. Remember to stage, commit and push to GitLab at the end of the lesson.
Reflect
Look at what you have made so far:
- does it align with the theme Moral Intelligence?
- have you used the ml5.js machine learning capabilities?
Do you have:
- an outline of your decision making for this portfolio entry?
- a history of git commits?
- photos or screen captures of your work?
- documentation for the planning / explorations
- links to any external code/resources you used
Review
The assessment criteria evaluates:
- Interaction Design
- Artistic Output
- Critical Exploration of the Theme
- Technical Quality (including Virtual World creation)
Using the rubric provided, how do you assess your response?
Discuss
Ensure you take time this class to speak with your instructor about your response. Show what you have made/written so far. Discuss what you think you may need. Ask questions!
Explore
While “variations” is not a category of the assessment criteria, variations are mentioned under the “A” to “E” criteria for:
- Interaction Design (explores several) AND
- Artistic Output (clear evolution)
Some evidence of exploring different alternatives (even through your conceptualisation/ideation) will contribute to your grade.
Would you like more inspiration about moral intelligence?
- You might read the DAIR Institute Blog or listen to an episode of their MAIHT3K podcast
- You could play around with the Google PAIR lab What-If tool to explore Fairness in Machine Learning
- Do you know about the RoboDebt Scandal and its impacts?
- What do you know about Tesla’s Autopilot feature?
- You could read about Hidden labour in Machine Learning
- What do you know about the energy and water consumption of AI?
Machine Learning and Artificial Intelligence is not immoral in itself. The practices of industry can make it seem so. It is important to note that technology is not neutral. When we engage with technology as consumers or citizens that is backed by slavery, cruelty, or illegal activity, then we give tacit consent to these practices. It is vital that we lift the curtain, look behind the scenes, and reject practices we object to, or protest to our governments against that which we must not accept.
Document
Document your experiments, decisions, alternative implementations, challenges into the markdown file portfolio-entry-2.md
Try out some formatting. You may wish to include an image (put the image in your assets folder).
You can make multiple copies of portfolio-entry-2.md - just increment the numbers for each file.
You will see that there are several headings already in there. These headings are there to help you structure your portfolio documentation and, perhaps, interpret the theme from some different perspectives.
Summary
Congratulations! In this lab you:
- reflected on the goals you set for your artefact or performance
- reviewed your portfolio 1 submission through the lens of the assessment criteria
- discussed your artefact with instructors in its current state
- explored and potentially implemented some variations to your portfolio item