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



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Autore: Islam Ray (Mohammad Rubyet) Visualizza persona
Titolo: Generative AI, cybersecurity, and ethics / / Mohammad Rubyet Islam Visualizza cluster
Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , [2025]
©2025
Edizione: 1st edition.
Descrizione fisica: 1 online resource (380 pages)
Disciplina: 174/.90063
Soggetto topico: Computer security
Artificial intelligence
Note generali: Includes index.
Nota di contenuto: Introduction -- Cybersecurity: understanding the digital fortress -- Understanding GenAI -- GenAI in cybersecurity -- Foundations of ethics in GenAI -- Ethical design and development -- Privacy in Gen AI cybersecurity -- Accountability for GenAI for cybersecurity -- Ethical decision-making in GenAI for cybersecurity -- The human factor and ethical hacking -- The future of GenAI in cybersecurity.
Sommario/riassunto: "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."--
Titolo autorizzato: Generative AI, cybersecurity, and ethics  Visualizza cluster
ISBN: 9781394279302
1394279302
9781394279319
1394279310
9781394279326
1394279329
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911019354203321
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