Generative AI, cybersecurity, and ethics / Mohammad Rubyet Islam.

By: Islam, Ray (Mohammad Rubyet) [author.]
Language: English Publisher: Hoboken, New Jersey : Wiley, [2025]Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781394279265Subject(s): Computer security | Artificial intelligenceGenre/Form: Electronic books.DDC classification: 174/.90063 LOC classification: QA76.9.A25 | I854 2025Online resources: Full text is available at Wiley Online Library Click here to view Summary: "Generative AI (GenAI) is set to revolutionize cybersecurity by greatly improving threat detection, risk analysis, and response strategies, thus enhancing digital security. Governments and private organizations worldwide are increasingly recognizing the need for specific ethical and regulatory policies tailored to AI and cybersecurity. However, GenAI presents unique challenges not found in other AI sectors. The emergence of technologies like ChatGPT and advanced deepfake creation, which showcase GenAI's potential in cybersecurity, highlights the importance of targeted focus in this field. As GenAI continues to advance, it is expected that corresponding ethical and regulatory frameworks will also evolve, addressing critical issues such as data privacy, consent, and accountability that are particularly relevant to the rapid progress and implementation of GenAI."-- Provided by publisher.
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Includes index.

"Generative AI (GenAI) is set to revolutionize cybersecurity by greatly improving threat detection, risk analysis, and response strategies, thus enhancing digital security. Governments and private organizations worldwide are increasingly recognizing the need for specific ethical and regulatory policies tailored to AI and cybersecurity. However, GenAI presents unique challenges not found in other AI sectors. The emergence of technologies like ChatGPT and advanced deepfake creation, which showcase GenAI's potential in cybersecurity, highlights the importance of targeted focus in this field. As GenAI continues to advance, it is expected that corresponding ethical and regulatory frameworks will also evolve, addressing critical issues such as data privacy, consent, and accountability that are particularly relevant to the rapid progress and implementation of GenAI."-- Provided by publisher.

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