Responsible AI use starts with clear roles and a strong AI governance framework
AI is no longer a technical gimmick. It’s a strategic tool increasingly used in communication, recruitment, customer service, and decision-making. But who oversees how it’s being used? And how do you ensure AI remains ethical, transparent, and compliant?
The answer: you need an AI governance framework, with involvement from the entire organization.
Why AI responsibility doesn’t belong to IT alone
Many organizations still see AI as something for the IT department. But today, AI impacts nearly every department:
- HR: AI tools that screen CVs or support bias-free hiring
- Marketing and communication: AI-driven text generation or personalization
- Legal & compliance: Regulations like the AI Act and GDPR
- Leadership and executives: Strategic decisions, reputational risks, and ethics
In short, AI affects people. And wherever people are impacted, responsibility is needed — across the organization.
What is an AI governance framework?
An AI governance framework is a structure of agreements, processes, and responsibilities that help your organization deploy AI responsibly.
It helps you to:
- Create AI policies that are broadly supported
- Identify and manage AI-related risks
- Ensure compliance with legislation (AI compliance policies)
- Keep decision-making transparent and explainable
- Guarantee inclusive and fair AI applications
This is especially critical for large companies: the more data, people, and processes involved, the greater the risks — and the potential impact.
AI in organizations: shared ownership is key
To integrate AI properly, you must share responsibility. Ask yourself and your team the following questions:
- Who decides where and how AI is used?
- Who checks whether AI contains bias or excludes people?
- Who ensures that AI complies with policies and regulations?
- Who reviews whether AI-generated communication is inclusive and understandable?
- And who steps in when AI does what it’s “supposed to do,” but not what it should?
Clear role distribution is the foundation of any strong AI governance framework.
Checklist: AI responsibility in your organization
Want to know how far along you are? This checklist provides a quick overview:
- Is there a formal AI policy within the organization?
- Are there established rules for using AI systems?
- Is AI evaluated for ethics, explainability, and inclusion?
- Is compliance with the AI Act and other regulations secured?
- Are IT, HR, Legal, Communications, and Executive teams involved in AI decisions?
- Do employees receive training about AI risks and awareness?
- Is there an internal reporting channel for AI-related concerns?
How many can you check off already?
Frequently asked questions about AI responsibility
Do I need an AI governance framework if I only buy AI solutions?
Yes. You are still responsible for how AI is used — even if you purchase it. Always ask how the model works and whether it meets your compliance and ethical standards.
We don’t use much AI yet. Should we already put something in place?
Definitely. If you’re just getting started, now is the perfect time to define your AI policies. It helps prevent issues later on.
Who should be part of an AI governance team?
Ideally, your governance team should include people from IT, HR, compliance, communication, and leadership. Together, you ensure technology, humanity, and legal compliance are balanced.
Need to get a grip on AI within your organization?
At Textmetrics, we help organizations use AI in a smart, inclusive, and responsible way. Our technology fits seamlessly into any AI governance framework — from language optimization to bias detection and legal compliance.
Want to explore your organization’s AI usage together? We’re happy to help with analysis, advice, or concrete next steps. Prefer to try it out for yourself? Get started with our free trial.
Questions? Don’t hesitate to get in touch!