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GLOSSARY





                       Artificial Intelligence: AI is the design of machines to think and act in ways similar to
                       humans.


                       AI Bias: This refers to AI making wrong or unfair decisions, even if it wasn’t intended to.



                       AI Ethics: Refers  to the values and principles guiding what is  right and wrong in
                       developing and using AI technologies.


                       AI Project Cycle: A clear, repeatable  sequence of steps for  building an artificial
                       intelligence solution—from identifying a problem to improving the finished system.


                       Computer Vision: Helps computers "see" and "understand" what is in pictures or videos.



                       Data Acquisition: The foundation of a successful AI project, where data is collected for
                       use in developing AI models.


                       Evaluation: One of the most critical stages of an AI project, where the model is assessed
                       for performance.


                       Ethics: The moral behavior of humans in given circumstances within their social life.


                       Natural Language Processing (NLP): Enables computers to understand human
                       language—both spoken and written.


                       Problem Scoping: The first and most important step in the AI project cycle, where the
                       problem to be solved is defined.



                       Project: A specific piece of work  with  a  clear  goal,  such as planning  a  class fair  or
                       building a model volcano.


                       Statistical Data: Data that AI uses to learn by finding patterns in large sets of information.


                       Systems Thinking: An approach to problem-solving that views problems as part of a
                       larger, interconnected system.


                       System Map: A diagram that shows the key elements of a system and the arrows of
                       influence between them.



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