Titlebook: Ethical and Legal Aspects of Computing; A Professional Persp Gerard O‘Regan Textbook 2024 The Editor(s) (if applicable) and The Author(s),

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Textbook 2024 perspective from software engineering. The author gained exposure to these aspects of computing while working as a software engineer at Motorola in Ireland, where he coordinated the patent programme and worked with several software suppliers...Topics and features:..Presents a broad overview of ethi

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Introduction to Law,ps with their neighbours, the state and with God. English common law operates on the principle of binding precedent, where the judge in a particular case must follow the decision of judges that have ruled on similar cases in the past. We discuss European law and the European convention of human rights.

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Intellectual Property Law,artistic expressions. It protects the expression of the idea and not the underlying idea itself. A trademark protects names or symbols that are used to identify goods or services, and their purpose is to avoid confusion and to help customers distinguish one brand from another.

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1863-7310 y.This textbook presents an overview of the critically important ethical and legal issues that arise in the computing field and provides a professional perspective from software engineering. The author gained exposure to these aspects of computing while working as a software engineer at Motorola in

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Das Holz der deutschen Nadelwaldb?umeence, and what should or should not be done with data. We discuss ethical problems of privacy that arise in social media, the Internet of Things, AI and facial recognition, and the legal aspects of privacy.

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https://doi.org/10.1007/978-3-322-93666-0eller do not physically come together in the market place to perform the transaction, and they may even be in different countries with distinct laws. There may be a greater risk of fraud or loss with e-commerce than with traditional commerce.

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Ethical and Legal Aspects of Data Science,ata collected, processed and used, and so the ethics of data science has become important. It aims to investigate what is fair and ethical in data science, and what should or should not be done with data. We discuss ethical problems of privacy that arise in social media, the Internet of Things, AI a