Revisiting AI Project Cycle Class 10 Questions and Answers – The CBSE has changed the syllabus of Std. X. The Questions and Answers are made based on the new syllabus and based on the CBSE textbook, Sample paper and Board Paper. All the important Information are taken from the Artificial Intelligence Class X Textbook Based on CBSE Board Pattern.
Revisiting AI Project Cycle Class 10 Questions and Answers
1. Outline the main steps in the AI Project Cycle briefly.
Answer: The AI project cycle consists of the following steps:
- Step 1: Problem Scoping: In problem scoping, we try to find the problem; we look at various parameters that affect the problem we wish to solve so that the picture becomes clearer.
- Step 2: Data Acquisition: You need to acquire data, which will become the base of your project; data can be collected from various reliable and authentic sources.
- Step 3: Data Exploration: The data you collect would be in large quantities; you can try to give it a visual image of different types of representations like graphs, databases, flow charts, maps, etc. This makes it easier for you to interpret the patterns that your acquired data follows.
- Step 4: Modeling: After exploration, you have to decide which type of model you would build to achieve the goal. For this, you can research online and select various models that give a suitable output.
- Step 5: Evaluation: Once the modeling is complete, you now need to test your model on some newly fetched data. The results will help you in evaluating your model and improving it.
- Step 6: Deployment: Finally, after evaluation, the deployment stage is crucial for ensuring the successful integration and operation of AI solutions in real-world environments, enabling them to deliver value and impact to users and stakeholders.
2. What roles does computer vision play in agricultural monitoring systems?
Answer: The roles of computer vision play in agriculture are
- Crop Health Monitoring – AI can detect diseases in crops and suggest how pests will be required in crops. AI can also identify the nutrient deficiencies in crops.
- Automated Harvesting – AI can guide the robotic machine system to pick the fruits and vegetables from the field.
3. Mention the factors that knowingly or unknowingly influence our decision-making.
Answer: The factors that knowingly or unknowingly influence decision-making are
- Non-maleficence – non-maleficence refers to the ethical principle of avoiding causing harm or negative consequences.
- Maleficence – Maleficence refers to the concept of intentionally causing harm or wrongdoing.
- Beneficence – Beneficence refers to the ethical principle of promoting and maximizing the well-being and welfare of individuals and society.
4. What is the necessity for ethical frameworks in AI development?
Answer: The necessity for ethical frameworks in AI development is
- Respect for autonomy: Enabling users to be fully aware of decision-making. E.g., users of an AI algorithm should know how it functions.
- Do not harm: Harm to anyone (be it human or nonhuman) must be avoided at all costs. If no choice is available, the path of least harm must always be chosen.
- Maximum benefit: Not only should we avoid harm; our actions must focus on providing the maximum benefit possible.
- Justice: All benefits and burdens of a particular choice must be distributed in a justified manner across people irrespective of their background.
5. Mention the key characteristics of sector-based frameworks.
Answer: Sector-based frameworks address issues such as patient privacy, data security, and the ethical use of AI in medical decision-making. Sector-based ethical frameworks may also apply to domains such as finance, education, transportation, agriculture, governance, and law enforcement.
6. What do you mean by bioethics?
Answer: Bioethics is an ethical framework used in healthcare and life sciences. It deals with ethical issues related to health, medicine, and biological sciences, ensuring that AI applications in healthcare adhere to ethical standards and considerations.
7. What is Natural Language Processing? Explain any two real-life applications of NLP.
Answer: Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. Natural language refers to language that is spoken and written by people, and natural language processing (NLP) attempts to extract information from the spoken and written word using algorithms.
Real-life applications of NLP are
- Email filters – NLP use in email, which helps to spam filters, uncovering certain words or phrases that signal a spam message.
- Machine Translation – NLP is used in machine translation systems like Google Translate and Microsoft Translator to automatically translate text from one language to another.
8. How do value-based frameworks contribute to ethical decision-making by emphasizing fundamental principles and values?
Answer: Value-based frameworks focus on fundamental ethical principles and values guiding decision-making. It reflects the different moral philosophies that inform ethical reasoning. Value-based frameworks are concerned with assessing the moral worth of actions and guiding ethical behavior.
9. Your grandmother watches you use AI applications. She wants to understand more about it. Help her understand the term artificial intelligence by giving the right definition and explain to her with an example how machines become artificially intelligent.
Answer: When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn and improve on its own, it is said to have artificial intelligence. In other words, you can say that a machine is artificially intelligent when it can accomplish tasks by itself – collect data, understand it, analyse it, learn from it, and improve it.
Machines become intelligent once they are trained with some data which helps them achieve their tasks. AI machines also keep updating their knowledge to optimise their output. For example, Netflix gives us recommendations on the basis of what we like. Whenever we start liking a new genre, it updates and gives better suggestions.
10. Akhil wants to learn how to scope the problem for an AI Project. Explain him the following:
- 4W Problem Canvas
- Problem Statement Template
Answer: The 4Ws Problem canvas helps in identifying the key elements related to the problem. The 4Ws are Who, What, Where and Why
- The “Who” block helps in analysing the people getting affected directly or indirectly due to the problem.
- The “What” block helps us to determine the nature of the problem.
- The “Where” block helps us to look into the situation in which the problem arises, the context of it, and the locations where it is prominent.
- The “Why” block suggests to us the benefits which the stakeholders would get from the solution and how it will benefit them as well as the society
11. How do you understand whether a machine/application is AI based or not? Explain with the help of an example.
Answer: Any machine that has been trained with data and can make decisions/predictions on its own can be termed as AI. Eg:The bot or the automation machine is not trained with any data is not an AI while a chatbot that understands and processes human language is an AI.
12. Suhana works for a company wherein she was assigned the task of developing a project using AI project cycle. She knew that the first stage was scoping the problem. Help her list the remaining stages that she must go through to develop the project.
Answer: Steps of AI project life cycle:
- Evaluation
- Data Acquisition
- Data Exploration
- Modelling
13. Samarth attended a seminar on Artificial Intelligence and has now been asked to write a report on his learnings from the seminar. Being a non-technical person, he understood that the AI enabled machine uses data of different formats in many of the daily based applications but failed to sync it with the right terminologies and express the details. Help Samarth define Artificial Intelligence, list the three domains of AI and the data that is used in these domains.
Answer: Artificial Intelligence (AI) refers to any technique that enables computers to mimic human intelligence i.e., make decisions, predict the future, learn and improve on its own. With respect to the type of data fed in
the AI model, AI models can be broadly categorised into three domains:
- Data Science – Data Science takes input in the form of numeric and alphanumeric data.
- Computer Vision – Computer Vision takes input in the form of images and videos.
- Natural Language Processing – Natural Language Processing takes input in the form of text and speech.
14. The world is competitive nowadays. People face competition in even the tiniest tasks and are expected to give their best at every point in time. When people are unable to meet these expectations, they get stressed and could even go into depression. We get to hear a lot of cases where people are depressed due to reasons like peer pressure, studies, family issues, relationships, etc. and they eventually get into something that is bad for them as well as for others.
So, to overcome this, Cognitive Behavioural Therapy (CBT) is considered to be one of the best methods to address stress as it is easy to implement on people and also gives good results. This therapy includes understanding the behaviour and mindset of a person in their normal life. With the help of CBT, therapists help people overcome their stress and live a happy life. For the situation given above,
- Write the problem statement template
- List any two sources from which data can be collected.
- How do we explore the data?
Answer:
- The problem statement template for the given scenario would be
- Data can be collected from one of the following sources:
a. surveys
b. observing therapist’s sessions
c. databases available on the internet
d. interviews - Once the textual data has been collected, it needs to be processed and cleaned so that an easier version can be sent to the machine. Thus, the text is normalised through various steps and is lowered to minimum vocabulary since the machine does not require grammatically correct statements but the essence of it.
15. Create a 4W Project Canvas for the following.
As more and more new technologies get into play, risks will get more concentrated into a common network. Cybersecurity becomes extremely complicated in such scenarios and goes beyond the control of firewalls. It
will not be able to detect unusual activity and patterns including the movement of data.
Think how AI algorithms can scrape through vast amounts of logs to identify susceptible user behaviour. Use an AI project cycle to clearly identify the scope, how you will collect data, model and evaluation parameters.
Answer:
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