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tugas pengantar keamanan sistem informasi paul junior kora

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Academic year: 2024

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NUSA PUTRA UNIVERSITY

Paul Junior Kora 20220050144

SISTEM INFORMATION

email:

[email protected]

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Page 1 Based on the material you have read. Describe about

1. Ethics in using computers

2. Ethical and Social Issues in the System

3. NONOBVIOUS RELATIONSHIP AWARENESS (NORA)

Answer:

1. Ethics in using computer systems involves considering the ethical implications of how computer systems are used. This includes the rights of users, the responsibilities of those who develop, maintain and use the systems, and the implications of the use of the systems on society. Ethical considerations in the use of computers include issues such as privacy, data security, the responsible use of technology, and the potential for technology to be used for unfair or discriminatory purposes. Other considerations include ethical considerations related to the use of artificial intelligence and machine learning, the potential for technology to create inequality, and the impact of technology on human rights.

2. Ethical and social issues arise when technology is used in a way that has the potential to harm people or society. This can include issues such as privacy and data security, the responsible use of technology, the potential for technology to be used for unfair or discriminatory purposes, and the ethical considerations of artificial intelligence and machine learning. Social issues can include the potential for technology to create inequality and the impact of technology on people’s lives and the environment. Ethical considerations include issues such as the responsible use of data, the need for transparency and accountability, and the impact of technology on human rights.

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Page 2 3. Nonobvious Relationship Awareness (NORA) is an artificial intelligence (AI) system developed by the US Department of Defense. The system analyzes data from publicly available sources in order to detect relationships between people, organizations, and events. NORA is designed to identify hidden connections and potential threats that may not be immediately apparent. NORA is able to identify connections between data points that are not obvious, such as connections between people and events that are geographically distant, or connections between people and organizations that are not directly related.

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