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3.  How is the application of computer vision in agricultural monitoring?
                Ans.   Computer vision is used in agriculture for tasks like monitoring crops, detecting pests, and estimating yields. Drones
                    equipped with cameras capture aerial images of farmland, which are analysed to evaluate crop health detect pests, and
                    optimise farming practices.
                  4.  “Google Lens is an application of Google that can be used to identify any image by clicking a picture from the real
                    world.”. Explain this statement.
                Ans.   Google Lens is an application of Google that can identify objects in images by analysing a photo taken from the real
                    world. It uses the object detection algorithm to recognise and identify an object within images. For example, if you are
                    unaware of the name of a flower in your garden, click a picture with your phone using Google Lens application and it
                    will reveal its name along with the description.
                  5.  What do you mean by Bioethics?                                                    [CBSE Handbook]
                Ans.   Bioethics is an ethical framework that addresses complex moral and ethical dilemmas in healthcare, medicine, and
                    biological sciences. It integrates principles from multiple disciplines, including medicine, law, philosophy, and sociology,
                    to guide ethical decision-making. The primary goal of bioethics is to ensure that decisions in healthcare are made fairly,
                    respect individual rights, and protect human dignity.

              B.  Long answer type questions.

                  1.  What is the need of ethical frameworks for AI?
                Ans.   The need of the ethical framework is given below:
                    •  Fairness and bias: AI should treat everyone equally. Ethical frameworks help reduce bias in AI, ensuring it doesn’t
                      favour one group over another. This ensures all individuals are given equal opportunities and treatment.
                    •  Privacy and data protection: AI uses a lot of personal data, so guidelines are needed to protect people’s privacy
                      and ensure data is used responsibly. Clear rules help prevent misuse and ensure data security.
                    •  Environmental impact: AI systems can use a lot of energy. Ethical frameworks encourage creating AI that uses less
                      energy and is better for the environment. This ensures that AI doesn’t harm the planet while advancing technology.
                    •  Accountability: People are impacted by the decisions made by AI. There need to be methods for comprehending
                      and contesting these choices. This guarantees that AI is responsible for its deeds.
                    •  Transparency and explainability: AI decision-making should be understandable to the general public, particularly in
                      critical domains like healthcare and finance. In addition to building trust, this improves the identification of mistakes.
                  2.  Akhil wants to learn how to scope the problem for an AI Project. Explain him the following:
                     a.  4W Problem Canvas

                     b.  Problem Statement Template
                Ans.  a.  4W Problem Canvas
                          To achieve a comprehensive understanding, this phase emphasises the use of the 4W’s: Who, What, Where, and
                      Why.  This approach ensures that all critical components of the problem are clearly defined, aligning stakeholders
                      and team members.
                      •  Who: This step identifies who will benefit from the AI solution, as well as any stakeholders involved in the project.
                        It considers the target audience, users, and decision-makers.
                      •  What: This step defines the specific problem or challenge that needs to be addressed with AI. It outlines the goals
                        and the desired outcome of the project.
                      •  Where: This step focuses on where the AI solution will operate or be implemented. It could refer to the technical
                        environment, the geographical location, or the specific domain.
                      •  Why: This step explores the reason behind solving the problem. It looks at the value and impact that solving the
                        problem will have for the business, users, or society.

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