1. Outline the main steps in the AI Project Cycle brie y.

Answer: The AI project cycle consists of the following steps:

● Step 1: Problem Scoping: In problem scoping, we try to nd 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, ow 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
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model and improving it.

. Step 6: Deployment: Finally, after evaluation, the deployment stage is crucial for
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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 de ciencies in crops.
● Automated Harvesting – AI can guide the robotic machine system to pick the fruits and
vegetables from the eld

3. Mention the factors that knowingly or unknowingly in uence our decision-making.

Answer: The factors that knowingly or unknowingly in uence decision-making are

● Non-male cence – non-male cence refers to the ethical principle of avoiding causing
harm or negative consequences.
● Male cence – Male cence refers to the concept of intentionally causing harm or
wrongdoing.

● Bene cence – Bene cence 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

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● 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 bene t: Not only should we avoid harm; our actions must focus on providing
the maximum bene t possible.
● Justice: All bene ts and burdens of a particular choice must be distributed in a justi ed
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 nance, 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 arti cial
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
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written word using algorithms.

Real-life applications of NLP are

● Email lters – NLP use in email, which helps to spam lters, 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.

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 bene ts which the stakeholders would get from the
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solution and how it will bene t 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.
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