CORDIS Project
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This project develops Explainable Artificial Intelligence (XAI) to improve transparency in AI decision-making processes. By focusing on human-centric approaches, it aims to enhance trust in AI systems within manufacturing, addressing concerns about bias and decision-making clarity.
Despite the indisputable benefits of AI, humans typically have little visibility and knowledge on how AI systems make any decisions or predictions due to the so-called “black-box effect” in which many of the machine learning/deep learning algorithms are not able to be examined after their execution to understand specifically how and why a decision has been made.
The inner workings of machine learning and deep learning are not exactly transparent, and as algorithms become more complicated, fears…
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Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Spain, Valencia
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Italy, Milano
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Estonia, TALLIN
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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