Search results
Results from the WOW.Com Content Network
Regulation of AI can be seen as positive social means to manage the AI control problem (the need to ensure long-term beneficial AI), with other social responses such as doing nothing or banning being seen as impractical, and approaches such as enhancing human capabilities through transhumanism techniques like brain-computer interfaces being ...
NIST Version 1.1. The NIST Cybersecurity Framework organizes its "core" material into five "functions" which are subdivided into a total of 23 "categories". For each category, it defines a number of subcategories of cybersecurity outcomes and security controls, with 108 subcategories in all.
An AI box is a proposed method of capability control in which an AI is run on an isolated computer system with heavily restricted input and output channels—for example, text-only channels and no connection to the internet.
NIST Special Publication 800-53 is an information security standard that provides a catalog of privacy and security controls for information systems.Originally intended for U.S. federal agencies except those related to national security, since the 5th revision it is a standard for general usage.
Tailor and supplement the baseline controls as needed, based on an organizational risk assessment and specific local conditions. If applicable, overlays are added in this step. [2] [9] Implement the security controls identified in the previous step. [2] Assess: A third-party assessor evaluates whether the controls are properly implemented and ...
NIST SP 800-53 SI-4 System Monitoring outlines the requirements for monitoring systems, including detecting unauthorized access and tracking anomalies, malware, and potential attacks. This security control specifies both the hardware and software requirements for detecting suspicious activities. [17]
NIST Special Publication 800-37 Rev. 1 was published in February 2010 under the title "Guide for Applying the Risk Management Framework to Federal Information Systems: A Security Life Cycle Approach". This version described six steps in the RMF lifecycle. Rev. 1 was withdrawn on December 20, 2019 and superseded by SP 800-37 Rev. 2. [1]
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.