13. AI in Organizations

Question 1

What are the 3 main categories of AI?

Answer 1

1. Narrow AI: Focused on specific tasks
2. General AI: Mimics human intelligence across tasks.
3. Generative AI: Creates new content like text, images, or videos (e.g., ChatGPT).

Question 2

What are 4 areas where Generative AI is applied?

Answer 2

1. Advertising & Marketing.
2. Healthcare: Improving medical image
3. Education: Assisting in teaching and research
4. Media & Entertainment: Creating visual/audio content

Question 3

How does Generative AI help in education? 3 points

Answer 3

1. Students: Information search, answering questions, enhancing writing.
2. Teachers: Grading, providing feedback, preparing materials.
3. Researchers: Supporting problem formulation, data collection, and analysis.

Question 4

What are the 5 ethical concerns related to Generative AI?

Answer 4

1. Harmful Content: violent or offensive content
2. Over-Reliance: accepting wrong facts from AI
3. Misuse: Plagiarism or cheating
4. Privacy Risks: Potential leakage of sensitive information.
5. Bias: Exclusionary norms due to limited training data.

Question 5

What are 3 technological concerns with Generative AI?

Answer 5

1. Hallucination: Nonsensical or inaccurate outputs.
2. Training Data Quality: Insufficient or biased data.
3. Explainability: Difficulty understanding AI outputs or detecting errors.

Question 6

How does Generative AI impact the economy? 4 points

Answer 6

1. Job Displacement: Loss of roles due to automation.
2. Industry Disruption: Certain sectors replaced by AI.
3. Income Inequality: Those proficient with AI gain more wealth.
4. Monopolies: Concentration of power among AI-capable firms.

Question 7

What are the steps to improve AI literacy?

Answer 7

1. Encourage transparency in AI usage.
2. Educate and train people to work with Generative AI.
3. Stay updated on AI developments.
4. Enhance AI by improving data quality and explainability.