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Worksheet: Basics of AI | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions

Q.1: What is the primary goal of developing machines as per the concept of AI?
a) To replace human intelligence completely
b) To perform cognitive tasks like thinking and decision-making
c) To operate without any data
d) To limit technological advancements

Q.2: How is AI described in the context of the Fourth Industrial Revolution?
a) A hardware component for robots
b) The software engine driving technological advancements
c) A manual system for data collection
d) A non-evolving technology

Q.3: Which of the following is a challenge associated with AI?
a) Increased manual labor
b) Inscrutable "black box" algorithms
c) Reduced data collection
d) Limited use in households

Q.4: What is a characteristic of AI systems?
a) Performing tasks requiring physical strength
b) Reasoning and learning from past experience
c) Operating without algorithms
d) Avoiding human-like processes

Q.5: Which AI domain involves analyzing visual information to make decisions?
a) Data Sciences
b) Natural Language Processing
c) Computer Vision
d) Machine Learning

Q.6: What is the primary goal of Natural Language Processing (NLP)?
a) To process numerical data
b) To understand and interact using human language
c) To enhance physical movements
d) To replace human communication

Q.7: Which of the following is an example of a Data Science application?
a) Face lock in smartphones
b) Price comparison websites
c) Voice-activated assistants
d) Self-driving car navigation

Q.8: Which intelligence trait involves understanding and responding to conversations?
a) Mathematical Logical Reasoning
b) Linguistic Intelligence
c) Spatial Visual Intelligence
d) Kinesthetic Intelligence

Q.9: What is a potential ethical concern with self-driving cars?
a) Inability to process data
b) Moral dilemmas in decision-making algorithms
c) Lack of connectivity
d) Inability to use sensors

Q.10: What is a source of AI bias?
a) Machines developing their own biases
b) Transfer of developer’s biases into algorithms
c) Lack of data collection
d) Absence of human interaction

Fill in the Blanks

Q.1: Artificial Intelligence is a form of __________ that enables machines to perform tasks requiring human-like brain functions.

Q.2: Machine Learning is a subset of AI that enables machines to improve at tasks with __________ data.

Q.3: __________ is a domain of AI that involves analyzing visual information like images or videos.

Q.4: Smart assistants like Siri use __________ to understand and respond to voice commands.

Q.5: AI __________ refers to the unequal access to AI-enabled devices due to affordability issues.

True or False

Q.1: Deep Learning is the most advanced form of Artificial Intelligence compared to Machine Learning.

Q.2: All smart devices are powered by Artificial Intelligence.

Q.3: Data privacy concerns arise because smartphones collect data through apps with user permissions.

Q.4: AI bias can only be introduced intentionally by developers.

Q.5: AI can help solve societal issues but also poses challenges like job displacement.

Short Answer Questions 

Q.1: What is the role of data in enabling Artificial Intelligence?

Q.2: What is the difference between Machine Learning and Deep Learning?

Q.3: How does Computer Vision contribute to AI applications?

Q.4: Why is data privacy a concern in AI-enabled smartphones?

Q.5: What is AI bias, and how does it occur?

Long Answer Questions

Q.1: Explain the three main domains of AI and provide one example for each.

Q.2: Discuss the ethical concerns related to self-driving cars.

Q.3: Describe how data privacy issues arise in AI-enabled smartphones with examples.

Q.4: Analyze the concept of AI bias with examples and suggest ways to mitigate it.

Q.5: Evaluate the impact of AI access disparities and their potential consequences for society.

The document Worksheet: Basics of AI | Artificial Intelligence for Class 10 is a part of the Class 10 Course Artificial Intelligence for Class 10.
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FAQs on Worksheet: Basics of AI - Artificial Intelligence for Class 10

1. What is Artificial Intelligence (AI) and how is it different from traditional programming?
Ans.Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. AI can learn from data, recognize patterns, and make decisions, whereas traditional programming involves explicitly defining the rules and logic for every possible scenario. In traditional programming, the programmer writes the code to achieve a specific task, while in AI, the system learns and adapts from the input data.
2. What are some common applications of AI in everyday life?
Ans.Common applications of AI include virtual assistants like Siri and Alexa, recommendation systems used by platforms such as Netflix and Amazon, chatbots for customer service, image and speech recognition, and autonomous vehicles. These applications leverage machine learning and natural language processing to improve user experience and efficiency in various tasks.
3. What are the different types of AI systems, and how do they differ?
Ans.AI systems can be categorized into three main types: Narrow AI, General AI, and Superintelligent AI. Narrow AI is designed to perform a specific task, such as facial recognition or language translation. General AI, which is still theoretical, would be capable of understanding and reasoning across a wide range of tasks, similar to a human. Superintelligent AI would surpass human intelligence and capability, raising ethical and safety concerns.
4. How does machine learning relate to AI, and what are its key techniques?
Ans.Machine learning is a subset of AI that focuses on developing algorithms that allow computers to learn from and make predictions based on data. Key techniques in machine learning include supervised learning, where models are trained on labeled data; unsupervised learning, which involves finding patterns in unlabeled data; and reinforcement learning, where agents learn by interacting with their environment to maximize rewards.
5. What ethical considerations should be taken into account when developing AI technologies?
Ans.Ethical considerations in AI development include issues of bias and fairness, privacy concerns, accountability for AI decisions, and the potential impact on employment and society. Developers should ensure that AI systems are transparent, equitable, and designed to minimize harm. Establishing guidelines and regulations can help address these concerns and promote responsible AI usage.
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