To use AI in a smart, responsible, and secure manner, a company must take deliberate steps to manage the associated risks.
Think carefully about why and how you are using AI
Before implementing AI, clearly define what you want to achieve – for example, what problem it solves, what data it will use, and how the system will be technically built. A clear system description is the foundation for understanding the risks involved.
Understand the full lifecycle
An AI system is not just about ‘switching on the technology.’ It has a beginning, development, active use, and ongoing maintenance. You need to map out the system’s full lifecycle – from planning and data collection to deployment and continuous monitoring. It is important to maintain constant awareness and control because risks can arise at any stage. Determine who is responsible for each phase and what could potentially go wrong.
Ensure everything is legally compliant
If your AI system processes personal data (such as customer information), you must comply with data protection regulations such as the GDPR and possibly also meet additional industryspecific requirements. Make sure your activities are in line with the law and that you have obtained all necessary permissions and consents.
Consider who might be affected
Beyond technical and legal aspects, you should assess the broader impact. AI can affect customers, employees, communities, or even the environment. Think carefully about whether the system could create unfair outcomes, favour certain groups, or cause confusion and concern. Such risks might not be immediately visible but could have serious long-term consequences.
Assess risks and find solutions
After identifying potential risks, it is important to choose appropriate measures to mitigate them. Make a list of possible issues and evaluate how serious each one is. Then select suitable solutions – you might need stronger cybersecurity, clearer rules, or additional training for employees. A thoughtful approach to risk management will help to prevent problems and build user trust.
