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David Martens, professeur in Responsible AI, University of Antwerp

UNBELIEVABLE: Opening the black box how explainable ai can help us understand how algorithms work | History Defined

The use of numerous AI systems is risky, because they cannot explain how they reach their decisions. ShubhamDhage/Unsplash, CC BY

When you visit a hospital, artificial intelligence (AI) models can assist doctors by analysing medical images or predicting patient outcomes based on historical data. If you apply for a job, AI algorithms can be used to screen resumés, rank job candidates and even conduct initial interviews. When you want to watch a movie on Netflix, a recommendation algorithm predicts which movies you’re likely to enjoy based on your viewing habits. Even when you are driving, predictive algorithms are at work in navigation apps like Waze and Google Maps, optimising routes and predicting traffic patterns to ensure faster travel.

In the workplace, AI-powered tools like ChatGPT and GitHub Copilot are used to draft e-mails, write code and automate repetitive tasks, with studies suggesting that AI could automate up to 30% of worked hours by 2030.

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