FairNow is an AI governance software tool that simplifies and centralises AI risk management at scale. To build and maintain trust with customers, organisations must conduct thorough risk assessments on their AI models, ensuring compliance, fairness, and security. Risk assessments also ensure organisations know where to prioritise their AI governance efforts, beginning with high-risk models and use cases.

The Risk Management Profile for Artificial Intelligence and Human Rights serves as a practical guide for organisations—including governments, the private sector, and civil society—to design, develop, deploy, use, and govern AI in a manner consistent with respect for international human rights.

Judgment Call is an award-winning responsible innovation game and team-based activity that puts Microsoft's AI principles of fairness, privacy and security, reliability and safety, transparency, inclusion, and accountability into action. The game provides an easy-to-use method for cultivating stakeholder empathy through scenario-imagining.

The AI Governance module available in TrustWorks suite helps to achieve regulatory compliance with the EU AI Act and the coming wave of AI regulations. The tool allows any privacy or AI governance leader to get instant visibility and control over the AI systems used within the organisation, with continuous risk monitoring, risk classification and fulfilment of transparency obligations.

Defining quality measures for quantitatively evaluating system and software product quality in terms of characteristics and subcharacteristics defined in ISO/IEC 25010 and is intended to be used together with ISO/IEC 25010.

VDE-AR-E 2842-61-1 specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e.

This VDE application guide "Development and Trustworthiness of autonomous / cognitive Systems - Part 2: Management" describes the requirements for the management in order to ensure and support a structured approach to the development of a trustworthy autonomous cognitive system.

This VDE applikation guide "Development and Trustworthiness of autonomous / cognitive Systems - Part 6: After Release of the Solution" specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle.

This SRD deals with the ethical implications and moral questions that arise from the development and implementation of Artificial Intelligence (AI) technologies in the Active Assisted Living (AAL) context.

This WI will analyse work done in various SDOs on network policy management in general, and context-aware network policy management specifically, to determine what can be reused and what needs to be developed.

This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI.

ISO/IEC 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations.

This document provides guidance for members of the governing body of an organization to enable and govern the use of Artificial Intelligence (AI), in order to ensure its effective, efficient and acceptable use within the organization.

This document describes the concept and goals of smart transportation by autonomous vehicles on public roads.

Enzai’s EU AI Act Compliance Framework makes achieving compliance with the world’s first comprehensive AI governance legislation as easy as possible. The framework breaks hundreds of pages of regulations down into easy-to-follow steps allowing teams to enable organisations to seamlessly and confidently assess the compliance of their AI Systems with the Act and complete the requisite conformity assessments.

The Model AI Governance Framework for Generative AI (MGF-Gen AI) aims to address the challenges and risks associated to generative AI while facilitating innovation via setting a systematic and balance approach. This framework, built on Singapore's previous works, including its Model AI Governance Framework, includes nine dimensions.

This is an interactive bot that offers advice on complying with existing and intended AI regulations in various jurisdictions and offers a general risk analysis of the selected technology.

The Algorithmic Transparency Recording Standard (ATRS) is a framework for capturing information about algorithmic tools, including AI systems. It is designed to help public sector bodies openly publish information about the algorithmic tools they use in decision-making processes that affect members of the public.

The AI Incident Database is a free and open-source project dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems.

Tool to scrape local business data from Google Maps