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Artificial Intelligence Fundamentals and Responsible AI
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Artificial Intelligence Fundamentals and Responsible AI
Artificial Intelligence Fundamentals and Responsible AI
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1
Question
What is the definition of artificial intelligence according to the overview?
Page 2
Answer
Artificial intelligence is software that imitates human capabilities.
2
Question
What specific capability allows AI to forecast future events?
Page 2
Answer
AI can predict outcomes.
3
Question
How does AI identify regularities in data?
Page 2
Answer
AI recognises patterns.
4
Question
What irregularities can AI detect in processes or data?
Page 2
Answer
AI notices when something does not seem right.
5
Question
What sensory ability does AI use to understand surroundings?
Page 2
Answer
AI uses vision to interpret the world.
6
Question
How does AI engage in human-like interaction?
Page 2
Answer
AI communicates using language.
7
Question
From where does AI collect data for analysis?
Page 2
Answer
AI gathers information from multiple sources.
8
Question
What do AI systems copy from humans to enable advanced tasks?
Page 2
Answer
AI systems replicate human capabilities.
9
Question
What benefit do machines gain from AI replication of human intelligence?
Page 2
Answer
Machines perform tasks that once required human intelligence.
10
Question
What structural components make up artificial intelligence?
Page 3
Answer
AI is made up of several workloads, and they often work together.
11
Question
Provide an example of AI workloads collaborating in a real-world application.
Page 3
Answer
An AI solution for car insurance claims.
12
Question
What role does natural language processing play in car insurance claims?
Page 3
Answer
It understands the customer request.
13
Question
How does computer vision contribute to assessing car damage?
Page 3
Answer
Computer vision assesses damage from a photo.
14
Question
What does machine learning predict in the car insurance example?
Page 3
Answer
Machine learning predicts repair costs.
15
Question
What function does information extraction serve in fraud detection?
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Answer
Information extraction detects fraud.
16
Question
What is done with data from AI-processed insurance claims?
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Answer
All this data can then be indexed to create a searchable knowledge base for future claims.
17
Question
How do AI workloads typically interact in complex solutions?
Page 3
Answer
AI workloads often work together.
18
Question
Which AI workloads are explored in the presentation?
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Answer
Generative AI, agents, natural language processing, computer vision, information instruction, and machine learning.
19
Question
What organization applies guiding principles to ensure inclusive AI?
Page 4
Answer
Microsoft uses a series of guiding principles to make sure AI works for everyone.
20
Question
If a car insurance claim involves text description and photo, which workloads process it?
Page 3
Answer
Natural language processing for the request and computer vision for the photo.
21
Question
Why index AI-processed data from insurance claims?
Page 3
Answer
To create a searchable knowledge base for future claims.
22
Question
What is the purpose of responsible AI principles?
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Answer
Responsible AI principles provide an ethical framework guiding development and deployment of AI systems.
23
Question
How do responsible AI principles promote fairness?
Page 6
Answer
Principles help prevent bias and discrimination by ensuring balanced and fair AI model design.
24
Question
What protections are required for AI handling personal data?
Page 6
Answer
AI systems must protect data privacy and security, especially when handling sensitive information.
25
Question
What does transparency achieve in AI decision-making?
Page 6
Answer
Transparency ensures AI decisions are understandable.
26
Question
What role does accountability play in ethical AI?
Page 6
Answer
Accountability ensures ethical standards are upheld.
27
Question
Why are fair AI systems essential for users?
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Answer
Fair AI systems prevent harm by treating all individuals equally regardless of demographics.
28
Question
How are biases addressed before AI deployment?
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Answer
Continuous evaluation of model performance helps detect and reduce biases before deployment.
29
Question
What sustains fairness over the AI lifecycle?
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Answer
Fairness requires constant monitoring and adjustment throughout the AI lifecycle including transparency.
30
Question
What defines reliability in AI systems?
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Answer
Reliability means AI systems perform consistently under diverse conditions, including rare edge cases.