AI Project Cycle and Ethical Frameworks MCQs with Answers | Class 10 AI (417)
Looking for the most relevant MCQs for Class 10 AI (417) AI Project Cycle & Ethical Frameworks? You’re at the right place!
By practicing these high-quality, exam-focused AI Project Cycle and Ethical Frameworks MCQs, you will not only develop a strong conceptual understanding of the AI Project Cycle and Ethical Framework, but also become familiar with the way CBSE asks its questions. This will improve your confidence, accuracy, and speed in the exam.
Let’s begin your practice and get exam-ready! 🚀
SECTION A: MULTIPLE CHOICE QUESTIONS (MCQs)
Q1. How many main stages are there in the AI Project Cycle?
a) 4
b) 5
c) 6
d) 7
Q2. In which stage of the AI Project Cycle do you set the goal by stating the problem you wish to solve?
a) Data Acquisition
b) Problem Scoping
c) Data Exploration
d) Deployment
Q3. Which process involves collecting data from reliable and authentic sources to form the base of an AI project?
a) Data Exploration
b) Modelling
c) Data Acquisition
d) Evaluation
Q4. Giving a visual image (like graphs, databases, or flowcharts) to acquired data to interpret patterns is called:
a) Data Exploration
b) Data Acquisition
c) Problem Scoping
d) Algorithm Design
Q5. What is done during the Evaluation stage of the AI Project Cycle?
a) Collecting raw data from the internet
b) Setting project goals and parameters
c) Testing the model on newly fetched data to check results and improve it
d) Deploying the model to the end-user immediately
Q6. Which stage of the AI Project Cycle helps decide the type of model to build?
a) Problem Scoping
b) Data Exploration
c) Deployment
d) Data Acquisition
Q7. Which of the following best describes the goal of Problem Scoping?
a) Testing the model
b) Setting the goal of the AI project by stating the problem to be solved
c) Deploying the model
d) Collecting statistical data only
Q8. Which stage ensures the successful integration and operation of AI solutions in real-world environments?
a) Problem Scoping
b) Modelling
c) Data Acquisition
d) Deployment
Q9. Which AI domain deals with collecting numerical data systems, maintaining datasets, and deriving meaning/sense from them?
a) Computer Vision
b) Natural Language Processing
c) Statistical Data
d) Bioethics
Q10. Price comparison websites like PriceGrabber, DealTime, and Shopzilla belong to which AI domain?
a) Computer Vision
b) Statistical Data
c) Natural Language Processing
d) Robotics
Q11. Agricultural monitoring (using drones to assess crop health) is an example of which AI domain?
a) Natural Language Processing
b) Statistical Data
c) Computer Vision
d) Machine Translation
Q12. Surveillance systems detecting suspicious activity in public spaces use which AI domain?
a) Computer Vision
b) Natural Language Processing
c) Statistical Data
d) Data Acquisition
Q13. Computer Vision primarily enables machines to:
a) Understand human speech
b) Analyse visual information and predict decisions
c) Translate languages
d) Predict stock prices
Q14. What domain of AI focuses on interaction between computers and human spoken/written language?
a) Computer Vision
b) Natural Language Processing (NLP)
c) Statistical Data
d) Sector-based Frameworks
Q15. What does NLP stand for?
a) Natural Language Programming
b) Natural Language Processing
c) Network Language Protocol
d) Natural Learning Process
Q16. Which of these is the most basic application of NLP mentioned in the text?
a) Agricultural monitoring
b) Email/spam filters
c) Surveillance systems
d) Price comparison
Q17. Google Translate is real-world examples of:
a) Machine Translation (NLP)
b) Price Comparison (Statistical Data)
c) Aerial Monitoring (CV)
d) Bioethical Frameworks
Q18. A set of step-by-step guidance that helps solve problems in an organized manner is called a:
a) Dataset
b) Algorithm
c) Framework
d) Variable
Q19. Ethical frameworks help ensure that:
a) AI runs faster
b) Choices made do not cause unintended harm
c) Data is collected quickly
d) Models are cheaper
Q20. Ethical frameworks for AI are broadly classified into two main types:
a) Hardware-based and Software-based
b) Sector-based and Value-based
c) Data-based and Pixel-based
d) Linear and Cyclical
Q21. Bioethics is an example of a:
a) Value-based framework
b) Sector-based framework
c) Computer Vision model
d) Data Exploration technique
Q22. Value-based ethical frameworks are categorized into which three types?
a) Rights-based, Utility-based, Virtue-based
b) Sector-based, Bioethics-based, User-based
c) Data-based, Model-based, Test-based
d) Moral-based, Action-based, Logic-based
Q23. Which framework prioritizes the protection of human rights, individual autonomy, and dignity?
a) Utility-based
b) Virtue-based
c) Rights-based
d) Sector-based
Q24. Which framework evaluates actions based on maximizing overall good and minimizing harm for the greatest number of people?
a) Virtue-based
b) Rights-based
c) Utility-based
d) Sector-based
Q25. Which ethical framework focuses on the character, honesty, and intentions of the individuals developing and using AI?
a) Rights-based
b) Virtue-based
c) Utility-based
d) Bioethics
Q26. Which specific ethical framework is used in healthcare and life sciences?
a) Bioethics
b) Computer Vision
c) Machine Translation
d) Data Acquisition
Q27. Which of the following is NOT one of the principles of Bioethics?
a) Respect for Autonomy
b) Non-maleficence (Do no harm)
c) Maximizing financial profit
d) Justice
Q28. Which principle of Bioethics refers to avoiding causing harm?
a) Beneficence
b) Non-maleficence
c) Justice
d) Autonomy
Q29. Maleficence refers to:
a) Promoting well-being
b) Intentionally causing harm or wrongdoing
c) Ensuring justice
d) Respecting autonomy
Q30. Beneficence refers to:
a) Avoiding harm
b) Promoting and maximising well-being of individuals and society
c) Intentional wrongdoing
d) None of these
Q31. What does the principle of Non-maleficence mean?
a) Intentionally causing harm
b) Avoiding causing harm or negative consequences
c) Maximizing overall financial gain
d) Creating software without testing
Q32. Which Bioethics principle relates to users being fully aware of how an AI system functions?
a) Justice
b) Do not harm
c) Respect for autonomy
d) Maximum benefit
Q33. Going beyond simply avoiding harm to actively ensure the algorithm provides positive health outcomes for all races relates to:
a) Non-maleficence
b) Beneficence (Maximum benefit)
c) Problem Scoping
d) Data Acquisition
Q34. The ‘Justice’ principle of Bioethics requires:
a) Benefits and burdens distributed fairly across people regardless of background
b) Only the majority group benefits
c) Cost reduction
d) Faster algorithms
Q35. Choose the stages of AI project cycle in correct order:
a) Evaluation → Problem Scoping → Data Exploration → Data Acquisition → Modeling → Deployment
b) Problem Scoping → Data Exploration → Data Acquisition → Evaluation → Modeling → Deployment
c) Data Acquisition → Problem Scoping → Data Exploration → Modeling → Evaluation → Deployment
d) Problem Scoping → Data Acquisition → Data Exploration → Modeling → Evaluation → Deployment
Q36. Which W among 4Ws of Problem Scoping determines the nature of the problem?
a) Who
b) What
c) Where
d) Why
Q37. Which of the following refers to ‘Where’ stage 4Ws framework?
a) Stakeholders
b) Nature of the problem
c) Context / Situation / Location
d) Benefits or Needs of the stakeholders
Q38. Which of the following is not a domain of AI?
a) Data Science
b) Computer Vision
c) Natural Language Processing
d) Neural Network
Q39. Which of the following is an example of NLP?
a) Spam filters
b) Smart Assistive tools
c) Google Translate
d) All of these
SECTION B: ASSERTION AND REASON BASED QUESTIONS
Q40. Assertion (A): Ethical frameworks help avoid unintended harm from AI decisions.
Reason (R): Ethical frameworks are step-by-step guidance based on values and morals.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q41. Assertion (A): The AI Project Cycle consists of 6 stages.
Reason (R): Deployment is not considered a part of the AI Project Cycle.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q42. Assertion (A): Bioethics is a value-based ethical framework.
Reason (R): Bioethics is used specifically in healthcare and life sciences.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q43. Assertion (A): Computer Vision helps machines analyse visual information and make decisions.
Reason (R): Computer Vision only works with text data.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q44. Assertion (A): NLP enables machines to understand and process human language.
Reason (R): Spam filters are one of the earliest applications of NLP.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q45. Assertion (A): In the healthcare case study, the AI algorithm treated all regions fairly.
Reason (R): The algorithm was trained using healthcare expense data instead of actual illness data.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q46. Assertion (A): The ‘Non-maleficence’ principle means avoiding causing harm.
Reason (R): ‘Maleficence’ means intentionally causing harm.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q47. Assertion (A): Rights-based frameworks prioritise human rights and dignity over other considerations.
Reason (R): Rights-based frameworks are a type of sector-based framework.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q48. Assertion (A): Data Exploration involves representing data visually to interpret patterns.
Reason (R): Visual representation makes it easier to understand large quantities of data.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q49. Assertion (A): Drones equipped with cameras used in agriculture belong to the Natural Language Processing (NLP) domain.
Reason (R): NLP algorithms analyze sentence structures to generate automated language translations.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q50. Assertion (A): Learning-based models are more adaptable than rule-based models.
Reasoning (R): Learning-based models improve over time as they learn from new data, whereas rule-based models are fixed and do not adapt to change.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q51. Assertion (A): Evaluation is necessary after training an AI model.
Reasoning (R): Evaluation helps assess the model’s performance by comparing predictions to actual outcomes using metrics like accuracy, precision, and recall.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q52. Assertion (A): Computer Vision allows computers to extract and interpret visual context in different applications.
Reasoning (R): Computer Vision is used in applications such as autonomous vehicles, facial recognition, and quality inspection in manufacturing.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
Q53. Assertion (A): Natural Language Processing (NLP) enables machines to understand and process human language.
Reasoning (R): NLP includes techniques like Natural Language Understanding (NLU) and Natural Language Generation (NLG) for text analysis, speech recognition, and translation.
a) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are true, but Reason (R) is NOT the correct explanation of Assertion (A).
c) Assertion (A) is true, but Reason (R) is false.
d) Assertion (A) is false, but Reason (R) is true.
SECTION C: COMPETENCY BASED QUESTIONS
Q54. A team meets with patients and doctors to clearly define a health issue and set goals before building an app. Which stage of the AI Project Cycle are they in?
a) Data Acquisition
b) Problem Scoping
c) Modelling
d) Evaluation
Q55. Engineers pass a brand-new batch of test data through a trained model to measure its accuracy before launching it. Which stage of the AI Project Cycle is this?
a) Data Acquisition
b) Evaluation
c) Deployment
d) Problem Scoping
Q56. A retail store analyzes millions of numerical sales records and numbers to predict future market trends. Which domain of AI is being used?
a) Computer Vision
b) NLP
c) Statistical Data
d) Robotics
Q57. Smart cameras scan crowd movements at a train station to automatically alert security about unattended bags or unusual behavior. What is the main purpose of Computer Vision here?
a) Language translation
b) Monitoring public spaces and detecting suspicious activities
c) Price comparison
d) Data acquisition
Q58. An email app scans incoming text messages to catch spam keywords and sort bad emails into a Junk folder. What is the most basic application of NLP shown here?
a) Agricultural monitoring
b) Email/spam filters
c) Surveillance systems
d) Price comparison
Q59. Developers add strict safety checks to a medical AI so it never prescribes a dangerous medicine dose to a patient. Which principle of Bioethics are they following?
a) Beneficence
b) Non-maleficence
c) Justice
d) Autonomy
Q60. A developer intentionally alters a job-matching algorithm to sabotage certain candidates out of personal revenge. What does “Maleficence” refer to in this situation?
a) Promoting well-being
b) Intentionally causing harm or wrongdoing
c) Ensuring justice
d) Respecting autonomy
Q61. An AI mental health chatbot is designed specifically to encourage users, build good habits, and improve overall well-being. What does “Beneficence” refer to here?
a) Avoiding harm
b) Promoting and maximising well-being of individuals and society
c) Intentional wrongdoing
d) None of these
Q62. A government scholarship tool picks students purely based on merit, making sure everyone gets a fair chance regardless of background. What does the “Justice” principle require?
a) Benefits and burdens distributed fairly across people regardless of background
b) Only the majority group benefits
c) Cost reduction
d) Faster algorithms
Q63. A self-driving car processes image pixels from its camera to spot lane lines, stop signs, and pedestrians. Which domain of AI teaches machines to collect meaning from pixels?
a) NLP
b) Computer Vision
c) Statistical Data
d) Robotics
Q64. An AI-based scholarship system is designed so that students from all backgrounds receive equal opportunities without discrimination. Which Bioethics principle is being followed?
a) Benefits and burdens distributed fairly across people regardless of background
b) Only the majority group benefits
c) Cost reduction
d) Faster algorithms
Q65. A self-driving car identifies traffic signs, pedestrians, and vehicles by analysing images captured through its cameras. Which AI domain is primarily responsible for enabling this capability?
a) NLP
b) Computer Vision
c) Statistical Data
d) Robotics
Q66. A hospital plans to develop an AI system that can predict the risk of heart failure using details such as a patient’s age, weight, and family history. Before collecting any data, the team must clearly identify the problem the AI system is expected to solve.
What should be the first step in the AI Project Cycle?
a) Data Collection
b) Problem Scoping
c) Data Exploration
d) Data Modeling
Q67. A data scientist working on collecting weather data from Bluetooth to predict weather patterns. They collect weather data from weather sensors placed everywhere near weather station.
What type of data are they using for weather prediction and data acquisition?
a) Primary Data
b) Secondary Data
c) Census Data
d) Training Data
