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●    AI Ethics refers to a set of moral standards or principles that governs the use of AI systems.
        ●    An ethical framework is a structured approach that helps individuals and organisations make decisions
             about what is right and wrong.
        ●    An ethical framework for AI ensures that AI serves humanity and contributes positively to society.

        ●    The ethical frameworks for AI can be categorised into two main categories: sector-based and, value-based
             frameworks

        ●    Bioethics framework provides a structured approach to addressing ethical issues and dilemmas that arise in
             the practice of medicine and healthcare.

        ●    The four principles of bioethics can be used to ensure an ethical AI solution for the healthcare problem:
             Respect for Autonomy, Do not harm, and Justice.



                                                  S Solvedolved QQuestionsuestions


        A.  Tick () the correct answer.
            1.  What is the role of Computer Vision in AI?

                a.  Replicati ng human vision in machines
                b.  Enhancing natural language understanding

                c.  Solving complex problems
                d.  Opti mizing data structures

            2.  Which branch of AI focuses on replicating parts of the complexity of the human vision system?
                a.  Data                                           b.  Computer Vision

                c.  Natural Language Processing                    d.  Machine Learning
            3.  Which stage involves identifying and gathering the necessary data for an AI project?

                a.  Data Explorati on                              b.  Data Modelling
                c.  Data Acquisiti on                              d.  Evaluati on

            4.  What is the primary role of Data Exploration in the AI Project Cycle?
                a.  Building models                                       b.  Identi fying and gathering data

                c.  Understanding the quality and nature of data         d.  Deploying the model
            5.  Which stage involves finding all kinds of unknown patterns in data?

                a.  Data Modeling                                  b.  Data Explorati on
                c.  Evaluati on                                    d.  Unsupervised Learning
            6.  Which stage involves interpreting useful information from collected data to understand its
                quality and nature?

                a.  Data Modelling                                 b.  Data Explorati on
                c.  Problem Scoping                                d.  Data Acquisiti on

            7.  In what ways can ethical frameworks be categorized?
                a.  Into legal and illegal frameworks

                b.  Into sector-based and value-based frameworks

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