1. Privacy: data is exposed faster and easier

AI systems require a lot of data. This often includes personal data, for example customer data, user behavior or location information. This makes it extra attractive for hackers to steal this data. But things can go wrong even without malicious parties: if data is not properly protected, or if data sets are used that still make people traceable, there is a privacy risk.
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What can you do?

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• Keep track of what data you collect and only use what's really necessary.
• Make data irreducible where possible (such as pseudonymization).
• Check regularly to make sure you still comply with privacy rules, such as the AVG.
• Be critical of who has access to which data within your organization.

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2. AI can reinforce preconceptions without you noticing

AI learns from data that you give it. If this is a skewed distribution, AI can unintentionally disadvantage certain groups. Imagine: an AI that reviews resumes and unconsciously gives fewer opportunities to women of certain ages. Not only is that unfair, it can also cause serious damage to your reputation and even legal problems.

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What can you do?

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• Take a good look at the data you use to train AI. Is it diverse enough?
• Regularly test whether decisions are fair and neutral.
• Involve different people in developing and assessing AI applications.

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3. Deception through deepfakes and fake news is becoming increasingly realistic

AI makes it easy to fake images, videos, and sounds. Think fake videos of politicians, or a fake voice pretending to be your boss. That makes phishing and social engineering much more dangerous. For example, you or your colleagues can just become a victim of fraud or make wrong decisions based on incorrect information.

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What can you do?

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• Be critical of unexpected and suspicious messages, even if they seem real.
• Train yourself and your colleagues to recognize fake content and social engineering (read here how we do that).
• Use tools that can detect deepfakes and fake news.

4. AI decisions are not always easy to understand

Sometimes you don't understand exactly why AI comes to a certain conclusion. This is called the “black box” problem. It means that you have less control over decisions and that it is more difficult to recognize errors or unwanted effects. Especially when it comes to sensitive topics, this can be fraught with risks.

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What can you do?

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• Where possible, opt for AI systems that explain their choices (“explainable AI”).
• Keep people involved in the process, especially when making important decisions.
• Document what the AI does and check regularly to make sure everything is still correct.

5. AI systems can also be attacked themselves

AI is not invulnerable. There are techniques to deceive AI, for example by making small adjustments in input that cause AI to make wrong decisions. Hackers can also use AI to bypass security systems or extract sensitive data.

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What can you do?

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• Test AI systems for potential vulnerabilities.
• Make sure your software and models are always up to date.
• Integrate AI security into your broader cybersecurity strategy.

Responsible use of AI with ISO 42001

The risks we discussed above show that AI offers opportunities but also new responsibilities. Fortunately, you don't have to organize that alone. There is now an international standard that helps you use AI safely and responsibly: ISO 42001.

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This standard provides organizations with a framework to manage AI applications in a way that is secure, fair, and transparent. Think of clear guidelines for ethics, privacy, security and reliability. This reduces the risks and shows customers, partners and supervisors that you are using AI seriously and responsibly.

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Together with our partners Brush AI and Tidal Control, we support organizations in a successful ISO 42001 implementation. Want to know more? Read here our story.

How to get started today

With these tips, you can keep a grip on your data, protect your privacy and prevent unpleasant surprises. You don't have to do it alone; getting help from experts can give you a lot of rest.

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Do you want to know how AI can work safely and responsibly in your organization? Feel free to send us a message. Together, we'll see what suits you best.