AI Design Showcase: Project Instructions
Project Overview: For this project, you'll be designing a prototype (mockup or storyboard) for an interactive media concept (digital art), chatbot, game, or character design that integrates AI technology. This project allows you to explore the dynamic relationship between AI, philosophy, epistemology, and ethics, along with your career path. Your project will involve three main components: user feedback session, presentation, and a critical reflection.
Project Phases:
1. Conceptualization and Proposal (Build from your Midterm)
- Choose a concept within your career domain that can benefit from AI integration. Explore ethical, cultural, and philosophical challenges related to AI in your field.
- Develop a proposal including:
- Project Description: Explanation of the interactive media concept.
- AI Integration: How AI will be incorporated.
- Project Goals: What you aim to achieve with the project.
2. Iterative Development and User Testing (Weeks 7-10)
- Prototype your project concept, integrating AI technologies using the platforms and tools available.
- Ensure your AI integration aligns with your proposed framework.
- Iterate on your prototype based on user feedback obtained during user feedback sessions.
- Maintain documentation of changes, user feedback, and refinements.
3. User Feedback Session: Peer Review (Week 11)
- Conduct user feedback sessions where you present your prototype to at least 3 different users.
- Gather feedback on usability, user experience, and cultural or ethicals considerations. Use the following construction: Stop | Start | Continue (outline which things your prototype should start doing, which things it shouldn’t do, and which things it should continue to do)
- Use this feedback to refine your prototype iteratively.
4. Final Presentation (Week 12 & 13)
- Prepare a presentation showcasing your interactive media concept, AI integration, and ethical considerations, and user feedback.
- Explain the user experience, how AI enhances the project, and the philosophical concepts guiding your design.
- Demonstrate how your project addresses cultural or ethical challenges and fosters thoughtful engagement with AI philosophy.
5. Turn in the Project Overview, Prototype and Critical Reflection
- Write a two page Project Overview. This will summarize your topic and tell the story of how you build your prototype. Discuss your idea, original design, and changes you made based on user feedback and presentations. This section has three parts:
- One or two paragraphs introducing your topic
- One or two paragraphs explaining your original design (and why you chose it)
- Between two and four paragraphs on changes you made based on user feedback sessions
- Submit your finalized prototype. This may be images, links, screenshots, sketches, or a series of GPT prompts. It should highlight how you’ve incorporated GPT into your workflow by showing the prompts you’ve used.
Three page critical reflection paper: Be sure you cite four of the class readings. In your reflection, incorporate:
- Insights discussed in class based on the class readings
- Considerations on building and deploying AI tools.
- Cultural perspectives on AI and its implications.
- How your project aligns with these perspectives.
- Reflection on your iterative design process and ethical considerations.
Resources and Platforms:
- AI Platforms: Explore GPT-3 Playground (https://beta.openai.com/signup/) for text generation and DALL-E API (https://openai.com/blog/dall-e/) for image generation.
- Chatbot Platforms: There are many out-of-the-box solutions and you’re welcome to use whatever you might find
- Text Generation Libraries (if you’re the technical type): Look into Markovify (https://github.com/jsvine/markovify) for text generation.
Examples
Example #1: AI-Powered Character Dialogues for Games
For this project, where students create characters with AI-generated dialogues, they could present it by having a mock conversation with the character, asking questions and receiving contextually relevant AI-generated responses. The demo would be a recording of the student working with the AI character and providing context. Or the output could be a storyboard with example prompts and AI outputs that drive the character building.
Example #2: Ethical Decision Simulations
For projects involving ethical decision simulations, students can walk a user through a scenario in an AI guided simulation program. They explain the ethical dilemma presented, the options users have, and the AI-generated responses that reflect different ethical stances.simulation. They explain the ethical dilemma presented, the options users have, and the AI-generated responses that reflect different ethical stances. The assignment turn in could be a script based on the AI output, a video working with the prototype, or chatbot that the student constructs. Alternatively, you could test the AI’s answers over a series of questions and compare ChatGPT’s answer to other AI platforms or chatbots like Meta’s LLaMa. In this case, the final presentation would be a comparative paper or webpage (e.g., built on Notion) with charts and other points of analysis.
Example #3: Interactive AI-Enhanced Music Experience:
For this project, a student could present their interactive music experience as a live demonstration of the interactive music experience. This could involve a user interface where the audience can select preferences or inputs that affect the AI-generated music. They showcase how the AI-generated music responds in real time to user inputs, creating a dynamic and personalized musical composition. The output could be a recording where the student introduces the music and how it was produced and then plays a few minutes of the output. It might be that the student writes a simple program to take advantage of AI and user input. The student shares insights gained from developing the project, including challenges faced, insights on AI's role in creative processes, and thoughts on the future of AI in music.