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Practice Questions: AI Reflection and Ethics | Artificial Intelligence (AI) for Class 9 PDF Download

Q1. What is Artificial Intelligence (AI)?
(a) A machine performing only arithmetic operations
(b) A robot that repeats a set of commands
(c) A machine that mimics human intelligence and improves over time
(d) A computer program that can only store data

Ans: (c) 
AI involves machines learning from data, making decisions, and improving themselves, just like humans.

Q2. Which of the following is an example of AI application?
(a) Manual typewriter
(b) Self-driving car
(c) Wall clock
(d) Electric fan

Ans: (b)
A self-driving car uses AI to sense its environment and drive safely without human input.

Q3. Which domain of AI deals with understanding and processing human language?

(a) Data Science
(b) Computer Vision
(c) Natural Language Processing (NLP)
(d) Statistical Analysis

Ans: (c) 
NLP enables machines to read, understand, and respond to human languages like English.

Q4. What is the role of Computer Vision in AI?
(a) Understanding speech
(b) Analyzing numerical data
(c) Processing visual information
(d) Encrypting files

Ans: (c) 
Computer Vision helps machines “see” and interpret images and videos like humans do.

Q5. Which programming language is commonly used in AI development?
(a) Python
(b) HTML
(c) C
(d) SQL

Ans: (a)
Python is widely used in AI for its simplicity and vast libraries for data processing and machine learning.

Q6. What does the AI game "Semantris" help demonstrate?
(a) Computer Vision
(b) Data analysis
(c) Natural Language Processing
(d) Robotics

Ans: (c)
Semantris is a word association game that shows how AI understands and relates words.

Q7. Which of the following is not a domain of AI mentioned in the chapter?
(a) Natural Language Processing
(b) Computer Vision
(c) Statistical Data
(d) Thermodynamics

Ans: (d)
Thermodynamics is a branch of physics, not AI. The main AI domains are NLP, CV, and Statistical Data.

Q8. What type of data does "Rock, Paper, Scissors" AI game use?
(a) Audio data
(b) Image data
(c) Statistical data
(d) Video data

Ans: (c)
The game predicts user moves based on past data, which is analyzed statistically.

Q9. What AI feature is used when a phone unlocks by recognizing your face?
(a) Voice Recognition
(b) Natural Language Processing
(c) Computer Vision
(d) Data Analysis

Ans: (c)
Face recognition uses image processing, a key function of Computer Vision.

Q10. How does AI help in medical imaging?
(a) By storing patient files
(b) By printing x-ray films
(c) By converting scans into 3D images and assisting in diagnosis
(d) By making appointments

Ans: (c)
AI in medical imaging aids doctors in understanding a patient’s health by analyzing complex images.

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FAQs on Practice Questions: AI Reflection and Ethics - Artificial Intelligence (AI) for Class 9

1. What are the key ethical considerations in the development of artificial intelligence?
Ans. The key ethical considerations in AI development include transparency, accountability, privacy, fairness, and the potential for bias. Developers must ensure that AI systems operate transparently, allowing users to understand how decisions are made. Accountability is crucial, meaning that individuals or organizations must take responsibility for the actions of AI systems. Privacy concerns arise from data usage, and measures should be taken to protect personal information. Fairness involves creating AI that does not discriminate against any group, and addressing bias is essential to ensure equitable outcomes.
2. How can AI impact employment and job markets?
Ans. AI can significantly impact employment and job markets by automating tasks traditionally performed by humans, leading to job displacement in certain sectors. However, it can also create new job opportunities in fields such as AI development, maintenance, and oversight. The overall effect on employment will depend on how societies adapt to these changes, including re-skilling workers and creating new roles that leverage human creativity and emotional intelligence.
3. What role does transparency play in AI systems?
Ans. Transparency in AI systems is vital because it helps users and stakeholders understand how decisions are made. Transparent systems can be audited and scrutinized, allowing for better trust and reliability. When AI systems are transparent, it reduces the risk of unintended consequences and biases, as users can see the data and algorithms that drive decisions. This promotes accountability and encourages ethical practices in AI deployment.
4. Why is it important to address bias in AI algorithms?
Ans. Addressing bias in AI algorithms is crucial to ensure fairness and equality in decision-making processes. Bias can lead to discriminatory outcomes that affect marginalized groups negatively. For instance, biased algorithms in hiring or law enforcement can perpetuate existing societal inequalities. By identifying and mitigating bias, developers can create more equitable AI systems that serve all individuals fairly, ultimately leading to increased trust in technology.
5. What are some potential benefits of artificial intelligence in society?
Ans. The potential benefits of artificial intelligence in society include improved efficiency in various sectors, enhanced decision-making capabilities, and innovative solutions to complex problems. AI can streamline processes in healthcare, education, transportation, and many other fields, leading to better outcomes. Additionally, AI can analyze vast amounts of data to provide insights that humans may overlook, driving advancements in research and technology. Overall, AI has the potential to enhance quality of life and contribute to societal progress.
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