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Explanation Processes can Make Artificial Intelligence Understandable
Written by AZoRoboticsApr 12 2021
Studying X-ray images, sifting through job applications and indicating new track list human-machine interaction has become an important part of contemporary life.
Image Credit: Peshkova/shutterstock.com
Algorithmic decision-making is the basis for such artificial intelligence (AI) processes. But since these processes are usually hard to interpret, they generally prove less useful than expected.
Now, scientists from Paderborn University and Bielefeld University are planning to change this and are debating how the explainability of AI can be enhanced and adapted to the requirements of human users.
The researchers’ study was recently published in the renowned journal ....

Philipp Cimiano , Katharina Rohlfing , Bielefeld University , European Union , Explainability Research , Paderborn University , Make Artificial Intelligence , Computer Scientist , General Data Protection , Explainable Artificial Intelligence , How Decisions , பிஎலெபில்ட் பல்கலைக்கழகம் , ஐரோப்பிய தொழிற்சங்கம் , செய்ய செயற்கை உளவுத்துறை , கணினி விஞ்ஞானி , ஜநரல் தகவல்கள் ப்ரொடெக்ஶந் , எப்படி முடிவுகள் ,