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The language of deception : weaponizing next generation AI / Justin Hutchens.

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Sound recording
Author/Creator:
Hutchens, Justin, author.
Contributor:
Chamberlain, Mike, narrator.
Language:
English
Subjects (All):
Natural language processing (Computer science).
Natural language processing (Computer science)--Social aspects.
Natural language processing (Computer science)--Philosophy.
Social engineering.
Physical Description:
1 online resource (1 sound file (10 hr., 38 min.))
Edition:
[First edition].
Place of Publication:
Rego Park : Ascent Audio, 2024.
[Place of publication not identified] : Ascent Audio, 2024.
System Details:
audio file
Summary:
In The Language of Deception, artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past. From these foundations, the author examines topics related to the emerging risks of advanced AI technologies, including - The use of Large Language Models (LLMs) for social manipulation, disinformation, psychological operations, deception and fraud - The implementation of LLMs to construct fully autonomous social engineering systems for targeted attacks or for mass manipulation at scale - The technical use of LLMs and the underlying transformer architecture for use in technical weapons systems to include advanced next-generation malware, physical robotics, and even autonomous munition systems - Speculative future risks such as the alignment problem, disembodiment attacks, and flash wars.
Participant:
Narrator: Mike Chamberlain.
Notes:
Unabridged.
OCLC-licensed vendor bibliographic record.
ISBN:
9781663733139
1663733139
OCLC:
1419997441

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