120th Discussion: Is this AI? Searching for Answers and Image Generation

[Notice]

• Due to changes in the Meetup subscription structure, future discussions will require an admission fee of 2000 KRW.
• For now you can pay the fee in cash, or through Kakao Talk/Bank Transfer when you attend.

Topic: Is this AI? Searching for Answers and Image Generation
This Discussion will focus on the practical usages of "AI," or using the tools to answer questions, or generating images or responses.

Articles/Video
Responses

• 8 Questions About Using AI Responsibly, Answered
• Perception of AI Diverges Wildly Between Normies and Experts (YouTube)

Art and Image Generation

• The Ethics of AI Art - Center for Media Engagement
• Spotting AI: Knowing How to Recognise Real vs AI Images - Britannica Education

Question List
Technical and functional questions

1. What are the fundamental differences between generative AI and older forms of AI for question-answering? How do generative AI's capabilities for creating novel responses contrast with the more rigid, rule-based systems of the past?
2. What are the key factors that influence the quality of a generated answer? Discuss the roles of training data, prompt engineering, and the underlying model architecture.
3. When does generative AI struggle to provide accurate answers? Discuss the limitations surrounding subjective questions, real-time events, and queries requiring deep, personal understanding.

Artistic and creative questions

4. Is an AI-generated image "art"? What criteria are required for an image to be considered art?
5. How does the use of AI image generators affect human creativity? Does it enable new forms of expression or devalue traditional artistic skills?
6. Can AI tools act as creative collaborators for human artists?

User and application-focused questions

7. In which industries are generative AI-powered question-answering systems most valuable? What use cases hold the most promise, and why?
8. How can users effectively formulate prompts to get the most accurate and useful answers from a generative AI? What are the skills needed for effective "prompt engineering"?
9. How can we measure the real-world value of a generative AI question-answering system? What metrics beyond accuracy, such as user satisfaction or task completion rates, should be considered?

Ethical and societal questions

10. How does the use of generative AI in question-answering affect critical thinking skills? Is there a risk that users will rely too heavily on AI-generated responses instead of engaging in their own problem-solving?
11. What are the most significant ethical issues associated with using generative AI for question-answering? Consider problems like bias, data privacy, and the potential for the AI to cause harm.
12. How does generative AI impact how we define and value "original thought"? If an AI can generate a coherent essay or research summary, what does that mean for human creativity and innovation?
13. What ethical restrictions should be placed on AI image generation? For example, should there be limits on generating fake images of real people or creating deepfakes?
14. What kinds of content should AI image generators be forbidden from producing? Who should decide on these restrictions?
15. How can we prevent AI-generated images from being used to spread misinformation or create false historical narratives?