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AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

7 May 2025

Accountability for AI systems (Glossary)

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The term "accountability for AI systems" belongs to the fields of artificial intelligence, digital society and cybercrime and cybersecurity. It describes the need for companies or organisations that use artificial intelligence (AI) to clearly demonstrate how and why these systems make certain decisions. The goal: AI should be used fairly, comprehensibly and responsibly.

Imagine, for example, a bank that uses AI to make lending decisions. Accountability for AI systems means that the bank must be able to explain why a customer has been refused a loan. Is it due to income, previous payments or other factors? This prevents arbitrariness and discrimination and strengthens user confidence.

Accountability for AI systems is particularly important when it comes to sensitive data or impact on people's lives. It helps companies to ensure compliance with legal regulations and recognise potential risks at an early stage. In the future, it will become increasingly important for everyone using AI to take responsibility and ensure transparency.

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