30 FOR TOK: IB COMPUTER SCIENCE: THE THINKING BEHIND SUBJECT

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Bol Computer science builds the infrastructure through which most of the world's knowledge now flows. Algorithms decide what information is findable. AI generates content that was once exclusively human. Understanding what computer science knows, and what it makes possible, has never been more important. 30 For 30 TOK: IB Computer Science is the sixteenth book in the 30 For 30 TOK series, which pairs thirty IB diploma subjects with thirty searching questions about the nature of the knowledge it produces. This volume focuses on the IB Computer Science course, asking questions about computation, abstraction, artificial intelligence, data, and the ethical implications of a discipline whose products now mediate human knowledge at a global scale. From the Church-Turing thesis to the epistemology of unexplainable AI decisions, from the ethics of algorithmic bias to the question of whether a simulated experience is a real one, the thirty questions in this book press on what computer science knows and what it enables. Sample responses model what careful, philosophically informed thinking about computation and its consequences looks like in practice. Designed for IB Computer Science students, teachers, TOK educators, and anyone trying to think clearly about a world increasingly made of code.

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Computer science builds the infrastructure through which most of the world's knowledge now flows. Algorithms decide what information is findable. AI generates content that was once exclusively human. Understanding what computer science knows, and what it makes possible, has never been more important. 30 For 30 TOK: IB Computer Science is the sixteenth book in the 30 For 30 TOK series, which pairs thirty IB diploma subjects with thirty searching questions about the nature of the knowledge it produces. This volume focuses on the IB Computer Science course, asking questions about computation, abstraction, artificial intelligence, data, and the ethical implications of a discipline whose products now mediate human knowledge at a global scale. From the Church-Turing thesis to the epistemology of unexplainable AI decisions, from the ethics of algorithmic bias to the question of whether a simulated experience is a real one, the thirty questions in this book press on what computer science knows and what it enables. Sample responses model what careful, philosophically informed thinking about computation and its consequences looks like in practice. Designed for IB Computer Science students, teachers, TOK educators, and anyone trying to think clearly about a world increasingly made of code.

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Pages: 221, Paperback, Independently published


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Merk Independently Published
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  • 9798198388451
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