Lecture 14 AI In Organisations Flashcards

1
Q

What are the four types of analytics?

A

Descriptive Analytics: Analyzes past data to understand trends and patterns.
Diagnostic Analytics: Investigates why something happened.
Predictive Analytics: Uses data to forecast future events or trends.
Prescriptive Analytics: Suggests actions to take based on predictive analysis.
Note: Predictive and prescriptive analytics are relevant for AI applications.

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2
Q

What is Artificial Intelligence (AI)?

A

: AI is a field of technology that enables machines to mimic human intelligence.

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3
Q

What are the different types of AI?

A

Narrow AI
General AI
Generative AI

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4
Q

Narrow AI

A

Specialized in performing specific tasks (e.g., virtual assistants like Siri).

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5
Q

General AI

A

Hypothetical AI that could perform any intellectual task like a human.

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6
Q

Generative AI

A

Creates new content such as text, images, or music (e.g., ChatGPT, DALL-E).

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7
Q

What is a Large Language Model (LLM)?

A

An LLM is a type of AI trained on massive amounts of data to generate human-like language. ChatGPT is an example of an LLM, trained on extensive data to understand and generate text.

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8
Q

What can Generative AI do for us?

A

Generative AI can create new content, such as:

Text (e.g., writing articles, stories)
Images (e.g., DALL-E creating artwork)
Music (e.g., generating new songs)

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9
Q

What are some ethical challenges of Generative AI?

A

Bias in AI models and data
Misuse of AI-generated content (e.g., deepfakes, misinformation)
Impact on privacy and data security

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10
Q

What are some technology concerns with Generative AI?

A

Lack of transparency in AI decision-making processes
Over-reliance on AI, reducing human creativity or oversight
Technical limitations, such as errors or misunderstandings in AI-generated content

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11
Q

What are the regulatory and policy challenges surrounding Generative AI?

A

Need for clear regulations to govern AI usage
Policies to address ethical, legal, and societal implications
Difficulty in creating global standards for AI deployment

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12
Q

What are some economic challenges of Generative AI?

A

Job displacement due to automation
Economic inequality as AI benefits may be unevenly distributed
Impact on industries like creative sectors (e.g., art, writing, music)

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