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Hong Kong recently introduced a "dual-track" policy for AI adoption in the financial sector, aiming to balance innovation with risk management. The initiative, announced by the Financial Services ...
The Risk Management Framework (RMF) is a United States federal government guideline, standard, and process for managing risk to help secure information systems (computers and networks). The RMF was developed by the National Institute of Standards and Technology (NIST), and provides a structured process that integrates information security ...
A risk management plan is a document to foresee risks, estimate impacts, and define responses to risks. It also contains a risk assessment matrix.According to the Project Management Institute, a risk management plan is a "component of the project, program, or portfolio management plan that describes how risk management activities will be structured and performed".
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 Rev. 1 was withdrawn on December 20, 2019 and superseded by SP 800-37 Rev. 2.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]
ISO 31000 is a set of international standards for risk management.It was developed in November 2009 by International Organization for Standardization. [1] The goal of it is intended to provide a consistent vocabulary and methodology for assessing and managing risk, resolving the historic ambiguities and differences in the ways risk are described.
Executive Order 14110 is the third executive order dealing explicitly with AI, with two AI-related executive orders being signed by then-President Donald Trump. [9] [10] The development of AI models without policy safeguards has raised a variety of concerns among experts and commentators.
Download QR code; Print/export Download as PDF; ... Risk Management Framework; Risk management plan; Risk manager; Risk register; Risk-based inspection; S. Scenario ...
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.