Session 1: Introduction to course idea¶
Materials¶
- Slides: KIM-01-Intro, animated version: KIM-01-Intro-animated
- Task description: KIM-01-Tasks
Video and audio samples for the course¶
https://hkchengrex.com/MMAudio/
Spotify Advertising generator: Spotify Creative Lab
Sources for shown image and video samples¶
- Person image: This Person Does Not Exist
- Midjourney house draft animation: Midjourney Explore
- VEO3 racecar video: Google AI Studio
- Common Sense Machine texture: Blog with other examples, shown example was published only on Discord.
Results¶
Task 1: Mindmap of course topics¶
See KIM-01-Mindmap.pdf for the task description. You can find the results of the students below.
Alyssa Athanasios Leon Chantal Isabell Flavio
General notes from UH¶
- What is knowledge ("Wissen")?
- Difference between data, information, and knowledge
- Knowledge representation
- Knowledge Graphs
- If the task is to create a mindmap, then a mindmap should be created. Not a list.
Things students know already¶
- Huge amounts of data are involved
- AI is often hidden
- AI can be used to generate manuals, summaries and images
- AI helps to structure data
- Known tools: ChatGPT by OpenAI, Claude by Anthropic, Gemini and Animation Creator (veo3) by Google, Meta AI by Meta, Firefly and Express by Adobe
- AI content become more and more widespread, even if wrong
- AI can be used to create images, videos, audio
- LLMs are used for text generation
- Water and energy consumption is a problem
- AI has social, political and economic implications
- AI is used to generate advertisements
- AI generates new and original (?) content
- AI learns continously
- AI content becomes more and more indistinguishable from human content
- There is a lot of prompt-driven content
- AI is controversial
Things students want to learn¶
TECHNICAL BASICS
- How does it work? How does it learn?
- How does it create content?
- Which kind of models exist?
- Which sources of data are used for training?
- How is data integrated?
- Understand the algorithms behind it. What about search algorithms?
- How do Chatbots work?
HISTORY AND FUTURE
- What are the academic and scientific challenges?
- History of AI
- What will be the future of AI? Will it remain?
- In which areas will AI be used?
- Will AI become more human-like? Will it be conscious? What about AGI (Artificial General Intelligence)?
- Can AI replace human creativity completely?
USAGE
- What can be done with it?
- Which prompt engineering techniques exist? And which work?
- How is AI used in CGI?
- Usage in medicine
- Learning and education with AI
- How can I detect AI-generated content so that I don't get fooled?
- How can I detect if AI is involved? Where is AI used without me noticing?
- How can I use AI tools in my daily life without feeling guilty?
- Is it easier to let AI generate content than to create it myself?
- How can I decide whether to use AI or not? Are there any indicators?
- Is it really easy to use AI tools? Or are there AI tools that are still difficult to use?
IMPACT
- How does it damage the environment?
- Does it harm humans?
- Which jobs have already been replaced?
- Economic aspects
- Ecological aspects
- Social aspects
- Ethical aspects (not ethnical, right?)
Things students want to create¶
- Text generation
- Text improvement
- Text structuring (lists) or support for structuring (processes)
- Idea generation
- Code generation, support and processing
- Image generation
- Understanding and using AI tools in general
- Video generation including sound
- Support for video editing (?)
- Website generation
- Learning support