Responsible Use of AI: Tips and Tools for Organizations

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Responsible Use of AI: Tips and Tools for Organizations

AI offers many opportunities, but it also raises questions about safety, transparency, and control. How can your organization use AI responsibly? And which guidelines and standards can support you?

This article explains how organizations can maintain control over AI, covering legislation and awareness to standards and practical action.

What Does the AI Act Require from Organizations?

The AI Act sets requirements for organizations that use AI. You must demonstrate that systems are used responsibly, with clear insight into their functioning and impact.

A first step is developing a conformity policy. This is a structured approach that documents AI applications, assesses risks, and defines control measures. It supports legal compliance and strengthens trust among customers, employees, and regulators.

Important components include:

  • Conducting a risk analysis of AI applications
  • Documenting decision rules
  • Establishing procedures for human oversight
  • Ensuring transparency toward users
  • Demonstrating AI literacy by showing that staff understand how to use AI responsibly
Several guidelines and standards can support this, such as the NOREA Guiding Principles, ISO 42001, and the NIST AI Risk Management Framework.

NOREA Guiding Principles: Reliable AI in Practice

The NOREA Guiding principles provide an ethical framework for responsible AI use. Seven principles are central: purposefulness, transparency, explainability, human oversight, reliability, reproducibility, and accountability.

In practice, this involves documenting decision rules, embedding human oversight, and communicating clearly about how AI systems function. The principles also offer practical guidance on ethics, security, privacy, and data management.

ISO 42001: Bringing Structure to AI Management

The ISO/IEC 42001 standard supports organizations in establishing an AI management system. It provides guidance on defining responsibilities, conducting risk analyses, and monitoring performance.

An important example is performing an AI Impact Assessment, which analyzes AI systems, associated risks, and control measures to enable responsible and controlled AI use.

NIST: Identifying and Managing Risks

The NIST AI Risk Management Framework helps organizations identify and manage AI risks, particularly with generative AI such as chatbots and image generators.

The framework provides tools for conducting risk assessment, handling incorrect or biased outputs, and implementing oversight and transparency measures. Its flexible design makes it suitable across different sectors.

How Do the Standards Relate to Each Other?
  • The Guiding Principles provide ethical foundations focused on transparency, explainability, and human oversight
  • ISO 42001 translates these principles into structured processes and defined responsibilities
  • The NIST Framework supports identifying and mitigating risks, particularly for generative AI

Choose What Fits Your Organization

  • For responsible and ethical AI use: The NOREA Guiding Principles
  • For structured AI management: ISO 42001
  • For analyzing and managing risks: The NIST AI Risk Management Framework
Not every organization needs every standard. The right choice depends on your goals and AI use cases.

If you are unsure which approach fits your organization, We are happy to help you identify a practical and achievable solution.

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