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  1. 10 de may. de 2024 · We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical examples of AI deception, discussing both special-use AI systems (including Meta’s CICERO) and general-purpose AI systems (including large language models).

  2. 10 de may. de 2024 · A wave of AI systems have “deceived” humans in ways they haven’t been explicitly trained to do, by offering up untrue explanations for their behavior or concealing the truth from human users...

  3. 23 de may. de 2024 · Artificial intelligence (AI) systems’ ability to manipulate and deceive humans could lead them to defraud people, tamper with election results and eventually go rogue, researchers have warned.

  4. 17 de may. de 2024 · Deception technology is a standalone platform that secures networks and endpoints from different types of attacks, including ransomware and advanced persistent threats. Increasing adoption of mobile, cloud hosting, and Internet-of-Things (IoT) technologies boost the volume and complexity of Internet-connected systems and devices.

  5. 10 de may. de 2024 · AI deception: A survey of examples, risks, and potential solutions. AI systems are already capable of deceiving humans. Deception is the systematic inducement of false beliefs in others to accomplish some outcome other than the truth.

  6. 23 de may. de 2024 · Deception technology is essential for securing an organization's critical data by creating realistic but fake assets—such as domains, databases, servers, files, credentials,...

  7. 14 de may. de 2024 · The study’s primary focus was to assess and compare five contemporary intrusion detection techniques: Deception Technology, Behavioral Analysis and Anomaly Detection, Threat Intelligence Integration, Security Orchestration, Automation, and Response (SOAR), and Endpoint Detection and Response (EDR).