1. What is the primary characteristic that distinguishes Generative AI from traditional artificial intelligence?

A). Strict adherence to predefined rules.
B). Data analysis for societal challenges.
C). Autonomous content creation.
D). Mimicking human creativity and problem-solving.

2. How does Generative AI contribute to enhancing productivity in various fields?

A). By enforcing strict rules in tasks.
B). Acting as a creative assistant in content creation.
C). Analyzing small datasets for insights.
D). Following traditional problem-solving approaches.

3. In what way does Generative AI play a significant role in addressing societal challenges?

A). Analyzing large datasets for pattern identification.
B). By avoiding involvement in societal issues.
C). Strict adherence to predefined societal norms.
D). Relying on human intuition for insights.

4. Why are ethical considerations considered integral to the development of Generative AI?

A). To maximize productivity.
B). To avoid societal challenges.
C). To ensure fairness, unbiasedness, and accountability.
D). To limit creativity in AI models.

5. What is the analogy used to describe Generative AI learning in the article?

A). A strict teacher guiding the AI.
B). A smart apprentice learning from examples.
C). A passive observer in the learning process.
D). A rule-based system for content creation.

6. Which major players are mentioned as leaders in Generative AI development in the article?

A). IBM, Microsoft, and Apple.
B). Google, Facebook, and Amazon.
C). OpenAI, Google’s DeepMind, and Facebook AI Research.
D). Tesla, Samsung, and Sony.