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These questions serve as a structured approach to ensure that all relevant aspects of the problem are considered,
thereby facilitating a more effective and efficient analysis and solution development.
b. Problem Statement Template
Once you’ve completed the 4Ws problem canvas, the next step is to consolidate all the information into a single,
comprehensive template. The problem statement template allows you to compile all the key details into one
format, providing a clear reference point for future use. Problem Statement Template is a structured format to
articulate the problem clearly. It ensures that the problem is well-defined and understood by all stakeholders.
Below is a template with designated spaces to fill in details aligned with your objectives.
3. Explain any two applications of Statistical Data.
Ans. Some applications of statistical data are as follows:
• Recommendation system: Recommendation systems use statistical data to suggest personalised content to
users. By analysing user behaviour, preferences, and historical interactions, AI models (e.g., collaborative filtering or
content-based filtering) recommend products, movies, or music. Netflix, Disney + Hotstar and Amazon are prime
examples of platforms using such systems.
• Price Comparison Websites: Price comparison websites are platforms that allow users to compare prices of
products or services offered by multiple sellers. These websites leverage statistical data to provide insights, trends,
and optimised pricing strategies. Statistical analysis plays a vital role in organising, interpreting, and presenting the
vast amounts of price-related data collected from various sources.
4. Samarth attended a workshop on Artificial Intelligence but found the technical jargon challenging. He understood that
AI is used in various everyday applications, but struggled to identify its core areas. Can you help Samarth list the three
main domains of AI?
Ans. Artificial Intelligence comprises three key domains:
• Statistical data: Statistical data is a critical domain of Artificial Intelligence (AI) that focuses on the collection,
management, analysis, and interpretation of data systems and processes. In this domain, AI systems are designed
to collect vast amounts of structured, semi-structured, and unstructured data from various sources, organise and
maintain data sets, and apply statistical and machine learning techniques to derive meaningful information from
them.
• Computer Vision: Computer vision is the domain of artificial intelligence that empowers computers to interpret,
analyse and understand an image or a video by collecting information from pixels. By analysing pixel data, it aims to
replicate human visual capabilities, such as object recognition, scene understanding, and motion tracking.
• Natural Language Processing: Natural Language Processing is the domain of artificial intelligence focused on
enabling machines to understand, analyse, and interact with humans through natural language. NLP works with two
main types of data: text and speech. It combines the fields of linguistics and computer science to analyse language
structure and provide guidelines to make models which can comprehend, break down and separate significant
details from text and speech.
5. Describe the principles of Bioethics.
Ans. The principles of bioethics are as follows:
• Respect of Autonomy: Autonomy emphasises respecting an individual's right to make decisions about their own
body and life. It values informed consent, personal choice, and self-determination. For example, a patient has the
right to accept or refuse a medical procedure after understanding its risks and benefits.
• Beneficence (Maximum Benefits): It includes promoting the wellbeing and welfare of an individual or a society. In
other words, it involves acting in ways that promote the well-being and best interests of others. Beneficence requires
healthcare professionals to act in the best interest of the patient, promoting well-being and taking positive actions
to prevent harm.
• Non-maleficence (Do Not Harm): This principle focuses on avoiding actions that could harm others whether
intentional or unintentional to an individual or a community.
• Justice: This principle ensures fairness in distributing healthcare resources, treatments, and opportunities. It
emphasises equality and avoiding discrimination in medical decision-making.
Revisiting AI Project Cycle & Ethical Frameworks for AI 167

