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9 May 2024

Explainable AI (XAI) (Glossary)

Artificial intelligence Automation Big data and smart data Cybercrime and cybersecurity Digital transformation Artificial intelligence glossary

Explainable AI (XAI) is a term used in the fields of artificial intelligence, big data and smart data as well as cybercrime and cybersecurity. It describes artificial intelligence systems whose decisions are comprehensible to humans. The aim of Explainable AI is to create transparency and strengthen user trust.

AI decisions often seem like a "black box" - they deliver a result, but nobody understands how it came about. Explainable AI changes this by showing which rules or data an AI is acting on. This is particularly important when decisions are made about people, for example when granting loans or diagnosing illnesses.

An illustrative example: a bank uses AI software to assess loan applications. Thanks to Explainable AI, the employee can see which factors (such as income, credit report and occupation) contributed to the rejection or acceptance. This allows the bank to explain its decision and better advise applicants.

Explainable AI is therefore an important building block for using artificial intelligence safely and responsibly in everyday life.

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Find out how Explainable AI (XAI) creates transparency and makes AI decisions comprehensible. Read more about XAI now!

written by:

Sanjay Sauldie

Sanjay Sauldie is a digital strategist, speaker and developer of the transruption toolkit, which companies can use to make their digital transformation measurable, human and sustainable. With kiROI - the AI-based approach to value creation in the digital age - he helps self-employed people and companies to integrate artificial intelligence into their processes in a practical way. With his outstanding marketing strategy iROI, he has already led countless companies to greater visibility and thus more profits. He combines digital innovation with disruptive thinking models for a sustainable business strategy. He studied mathematics and computer science at the University of Cologne, completed a Master of Science in Digital Disruption at the University of Salford (UK) and a Design Thinking programme at MIT/EMERITUS Singapore. As a multiple award-winning expert - including the Golden Web Award and the Innovation Award of the Initiative Mittelstand - he advises SMEs and corporations. His motto: "Digitalisation is not an end in itself - it must serve people."

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