Organisationsrollen und -prozesse
Wer macht was innerhalb einer Organisation.
20 Ressourcen
AI Governance Operating Model Guide
Guidance on establishing AI governance operating models within organizations. It covers governance committee structures, roles and responsibilities, decision-making processes, and integration with existing risk management frameworks.
The Chief AI Officer Role Definition
Guidance on the Chief AI Officer role, including responsibilities, required competencies, organizational positioning, and relationship with other C-suite roles. Addresses both technical and governance aspects of AI leadership.
AI Governance RACI Matrix Template
Template and guidance for creating AI governance RACI matrices. Defines who is Responsible, Accountable, Consulted, and Informed for key AI governance activities across the AI lifecycle.
AI Ethics Board Structure Guide
Guidance on establishing AI ethics boards and oversight committees. Covers composition, mandate, decision-making authority, reporting lines, and integration with corporate governance structures.
What is AI Governance?
An educational resource explaining AI governance principles including model development, validation, and transparency requirements. References Canada's Directive on Automated Decision-Making as an example of how governments implement AI governance frameworks with scoring systems for human oversight and monitoring.
AI Governance Operating Models and Framework
A framework for establishing AI governance operating models and developing core capabilities to mitigate risks in AI implementation. The resource focuses on organizational structures and processes needed for effective AI governance in enterprises.
Designing the AI Governance Operating Model & RACI
A guide for building AI governance operating models that includes RACI (Responsible, Accountable, Consulted, Informed) role definitions, workflows, approvals, and controls. The resource focuses on helping organizations scale AI responsibly while managing risk and maintaining compliance.
What Is a Chief AI Officer?
This resource defines the role of a Chief AI Officer (CAIO) as an executive responsible for overseeing AI technology development, strategy, and implementation within organizations. It provides guidance on the responsibilities and importance of this emerging leadership position in AI governance.
The role of the Chief AI Officer (CAIO): a guide to leading the transformation toward artificial intelligence
A guide examining the emerging role of Chief AI Officer (CAIO) and their responsibilities in leading organizational AI transformation. The resource focuses on how CAIOs can integrate AI into companies while building more agile, innovative, and responsible organizations.
Chief AI Officer
Wikipedia article defining the Chief AI Officer (CAIO) role as a senior executive position responsible for overseeing artificial intelligence strategy, development, and implementation within organizations. The resource provides information about this emerging C-suite position that focuses on AI governance and strategic oversight.
How to design an AI ethics board
This research paper explores how AI companies can improve their risk governance by establishing AI ethics boards. The authors identify five key design choices including board responsibilities, legal structure, and other organizational considerations for effective AI ethics oversight.
How to Form an AI Ethics Board for Responsible AI Development
A practical guide for organizations on establishing AI ethics boards to oversee responsible AI development. The resource covers different board structures, including internal and external board models, and provides guidance on implementation and governance processes.
How to Design an AI Ethics Board
A research paper providing guidance on designing AI ethics boards, covering structural considerations including internal versus external board configurations. The work examines the role of ethics boards in AI governance and offers practical recommendations for implementation within organizations.
AI governance RACI matrix template: roles across the full AI lifecycle
Pre-built AI governance RACI matrix covering five lifecycle phases: development, pre-deployment, deployment, operations, and governance. Includes AI-specific roles like ML engineers, ethics officers, and model risk managers.
The AI Governance RACI Matrix
A RACI (Responsible, Accountable, Consulted, Informed) matrix template that maps organizational roles and responsibilities for AI governance activities. The matrix is structured around the NIST AI Risk Management Framework's four core functions: govern, map, measure, and manage, helping organizations clarify decision-making authority and stakeholder involvement in AI governance processes.
Artificial Intelligence Governance Charter Template
A template for creating an AI Governance Charter that establishes the structure, responsibilities, and decision-making authority of an AI Governance Committee within an organization. The charter provides a framework for organizations to define guiding principles and processes for handling AI-related use cases and governance decisions.
Establishing governance for AI systems
IAPP guidance on standing up AI governance in an organization: identifying the stakeholders (technical implementers and senior governance/legal leaders), composing the oversight committee, and clarifying roles, responsibilities, and scope across the AI lifecycle.
National AI Advisory Committee
The National AI Advisory Committee is a US federal advisory body established under the AI Initiative Act of 2020. The committee provides guidance and recommendations on artificial intelligence policy and governance to the federal government. It operates under a formal charter that outlines its responsibilities and work processes.
Professionalizing Organizational AI Governance Report
IAPP and Credo AI research on how organizations build and professionalize AI governance functions, finding that most start by tasking existing staff before hiring and empowering senior managers and executives to own the program.
AI Governance Profession Report
IAPP’s report on the emerging AI governance profession, mapping the roles, skills, reporting lines, and team structures organizations are putting in place as AI governance becomes a defined discipline.