Class 10 Artificial Intelligence

Revisiting AI Project Cycle & Ethical Frameworks for AI

45 Class 10 Artificial Intelligence questions on Revisiting AI Project Cycle & Ethical Frameworks for AI from the CBSE board papers 2023–2026, each with its answer and a step-by-step solution.

Questions · page 2 of 3

1. Q21 CBSE 2025
   __________ ​is the ​best example of Robotics ​and ​AI ​(Artificial ​Intelligence) working together.

   1. (a)Telephones
   2. (b)Self-driving cars
   3. (c)Bulb
   4. (d)Printing Machine
   Show answer

   (b) Self-driving cars

   Step-by-step solution →
2. Q22 CBSE 2024
   Name any two search engines.
   Show answer

   Google and Bing are two search engines.

   Step-by-step solution →
3. Q23 CBSE 2025
   Which ​of ​the ​following statements is true ​about ​AI Bias ​?

   1. (a)It is always negative.
   2. (b)It leads to overfitting of training data.
   3. (c)It can result in unfair and discriminatory outcomes.
   4. (d)A machine can have biases of its own.
   Show answer

   (c) It can result in unfair and discriminatory outcomes.

   Step-by-step solution →
4. Q24 CBSE 2025
   Differentiate ​between ​Computer Vision (CV) ​and Natural ​Language ​Processing (NLP).
   Show answer

   Computer Vision reads the pixels of images and videos, as in self-driving cars; NLP reads spoken and written language, as in chatbots.

   Computer Vision reads visual data, the pixels of images and videos; example, self-driving cars. Natural Language Processing reads spoken and written human language, its context and semantics; example, chatbots.

   Step-by-step solution →
5. Q25 CBSE 2025
   Define ​the following ​with ​respect to ​AI project cycle :

   1. (i)​Data Exploration
   2. (ii)Data Features
   Show answer

   Data Exploration is the third stage, where collected data is visualised to find trends and patterns; data features are measurable properties of a dataset.

   (i) Data Exploration is the third stage, where collected data is visualised to find trends and patterns. (ii) Data Features are the measurable properties or attributes of a dataset.

   Step-by-step solution →
6. Q26 CBSE 2025
   Differentiate ​between ​Data Acquisition ​and ​Data ​Exploration.
   Show answer

   Data Acquisition, the second stage, collects project data from reliable sources; Data Exploration, the third, visualises the acquired data to find trends.

   Data Acquisition collects project data from reliable sources; Data Exploration analyses the acquired data. Data Acquisition is the second stage; Data Exploration, the third, visualises data to find trends.

   Step-by-step solution →
7. Q27 CBSE 2025
   What do you understand by ​AI Bias ​and ​AI Access ? Give one ​example of each ​to support your answer.
   Show answer

   AI Bias is discrimination inherited from data or developer; AI Access is whether AI tools reach everyone or only those who can afford them.

   AI Bias is discrimination in an AI system that favours some groups over others, because the data used to train it, or the developer, carried that bias. For example, almost all virtual assistants were given a female voice. AI Access is the availability of AI tools and resources to everyone. Those who can afford AI-enabled devices gain while others are left behind, and the digital divide widens. For example, an AI-driven language-learning app brings lessons to learners anywhere.

   Step-by-step solution →
8. Q28 CBSE 2025
   With respect to ​scoping a ​problem in ​AI ​Project ​Cycle, explain ​4 ​Ws Problem Canvas in detail.
   Show answer

   The 4 Ws Problem Canvas (Who, What, Where, Why) identifies the key elements of a problem during Problem Scoping.

   The 4 Ws Problem Canvas is used in Problem Scoping to identify the key elements of a problem. Who analyses the people affected, the stakeholders. What determines the nature of the problem and gathers evidence that it exists. Where focuses on the context, situation or location. Why states the benefit the stakeholders and society gain from a solution.

   Step-by-step solution →
9. Q29 CBSE 2025
   What is the use of problem ​statement template with respect ​to 4Ws ​of problem scoping ? ​Draw ​a problem statement template depicting ​all ​key elements.
   Show answer

   The template summarises the 4Ws (Who, What, Where, Why) in one place, so the team can later read the key elements of the problem.

   The problem statement template summarises all the key points collected during problem scoping, the 4Ws Who, What, Where and Why, into one single template. Whenever the team needs to look back at the basis of the problem later, it can read the key elements from that template instead of searching through its notes. The template drawn below carries one row for each of the four Ws.

   Step-by-step solution →
10. Q30 CBSE 2025
    Categorise ​the following examples under the given ​three AI domains – Data Science, NLP and ​Computer Vision ​with justification :

    1. (a)Recommendation ​Websites
    2. (b)Voice-based Virtual ​Assistants
    3. (c)Spam ​Filters
    4. (d)Airline ​Route Planning
    Show answer

    Recommendation websites and airline route planning are Data Science; voice assistants and spam filters are NLP.

    (a) Recommendation Websites - Data Science: they analyse user data with machine learning to personalise recommendations. (b) Voice-based Virtual Assistants - NLP: they interpret and generate human language to answer spoken commands. (c) Spam Filters - NLP: they classify emails by analysing the language of the text. (d) Airline Route Planning - Data Science: historical flight and passenger data are analysed to optimise routes.

    Step-by-step solution →
11. Q31 CBSE 2024
    Which of ​the ​following contributes ​to ​the efficiency of an ​AI project ​?

    1. (a)High Model Complexity
    2. (b)Relevant and Authentic Training Data
    3. (c)Minimal Preprocessing
    4. (d)Limited Hardware Resources
    Show answer

    (b) Relevant and Authentic Training Data

    Step-by-step solution →
12. Q32 CBSE 2024
    In ​the AI project cycle, which ​of the ​following represents ​the ​correct order ​of steps ?

    1. (a)Data Exploration, Problem Scoping, Modelling, Evaluation, Data Acquisition.
    2. (b)Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation.
    3. (c)Modelling, Data Acquisition, Evaluation, Problem Scoping, Data Exploration.
    4. (d)Data Acquisition, Data Exploration, Problem Scoping, Modelling, Evaluation.
    Show answer

    (b) Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation.

    Step-by-step solution →
13. Q33 CBSE 2024
    _________ ​is a concept to unify statistics, ​data ​analysis, machine ​learning and ​their related methods in ​order to understand and ​analyse actual phenomena with data.

    1. (a)Computer Vision
    2. (b)Natural Language Processing
    3. (c)Data Science
    4. (d)Computer Science
    Show answer

    (c) Data Science

    Step-by-step solution →
14. Q34 CBSE 2024
    Which of ​the following ​represents an ​example ​of a recommendation ​system ​?

    1. (a)An online clothing store that offers a wide variety of clothing options.
    2. (b)A search engine that retrieves relevant web pages based on user queries.
    3. (c)An e-commerce website that displays customer reviews and ratings for products.
    4. (d)A music streaming platform that suggests songs and playlists based on user listening history.
    Show answer

    (d) A music streaming platform that suggests songs and playlists based on user listening history.

    Step-by-step solution →
15. Q35 CBSE 2024
    The 4 W’s Problem Canvas helps in identifying the ​key elements related to ​the given ​problem. Which of the ​following is ​NOT one ​of the ​blocks of the Problem Canvas ?

    1. (a)When
    2. (b)Where
    3. (c)What
    4. (d)Why
    Show answer

    (a) When

    Step-by-step solution →
16. Q36 CBSE 2024
    Which ​domain ​of ​AI ​is ​used for interacting with virtual assistants such as Siri ​and ​Alexa ?

    1. (a)Machine Learning (ML)
    2. (b)Computer Vision (CV)
    3. (c)Natural Language Processing (NLP)
    4. (d)Technical Vision (TV)
    Show answer

    (c) Natural Language Processing (NLP)

    Step-by-step solution →
17. Q37 CBSE 2024
    Give ​any ​four examples of applications of AI ​that ​we ​see around ​us.
    Show answer

    Navigation apps, voice assistants, recommendation systems and face lock are everyday applications of AI.

    Navigation apps such as Google Maps find the fastest route using live traffic data. Voice assistants such as Siri and Alexa understand spoken questions and reply. Recommendation systems on YouTube, Netflix and Amazon suggest videos and products from each user's history. Face lock recognises the owner's face to unlock a smartphone.

    Step-by-step solution →
18. Q38 CBSE 2023
    Identify the incorrect statements ​from the following :

    1. (i)​AI models can be ​broadly categorized ​into four domains.
    2. (ii)Data sciences is one of ​the domain of ​AI model.
    3. (iii)Price comparison websites are examples of data science.
    4. (iv)The information extracted through data ​science can be used to make decision about it.

    1. (a)Only (iv)
    2. (b)(iii) and (iv)
    3. (c)Only (i)
    4. (d)(ii) and (iii)
    Show answer

    (c) Only (i)

    Step-by-step solution →
19. Q39 CBSE 2023
    During ​Data ​Acquisition, feeding previous ​data into the ​machine ​is called :

    1. (a)Training Data
    2. (b)Predicting Data
    3. (c)Testing Data
    4. (d)Evaluating Data
    Show answer

    (a) Training Data

    Step-by-step solution →
20. Q40 CBSE 2023
    Email filters, ​spam ​filters, smart ​assistants ​are the ​examples of :

    1. (a)Pocket Assistants
    2. (b)CV
    3. (c)NLP
    4. (d)Evaluation
    Show answer

    (c) NLP

    Step-by-step solution →