project . 2019 - 2024 . On going

XAI

Science and technology for the explanation of AI decision making
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 834756 Call for proposal: ERC-2018-ADG
  • Funded under: H2020 | ERC | ERC-ADG Overall Budget: 2,500,000 EURFunder Contribution: 2,500,000 EUR
  • Status: On going
  • Start Date
    01 Oct 2019
    End Date
    30 Sep 2024
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
A wealthy friend of mine asks for a vacation credit card to his bank, to discover that the credit he is offered is very low. The bank teller cannot explain why. My stubborn friend continues his quest for explanation up to the bank executives, to discover that an algorithm lowered his credit score. Why? After a long investigation, it turns out that the reason is: bad credit by the former owner of my friend’s house. Black box AI systems for automated decision making, often based on ML over (big) data, map a user’s features into a class or a score without explaining why. This is problematic for lack of transparency, but also for possible biases inherited by the alg...
Partners
Description
A wealthy friend of mine asks for a vacation credit card to his bank, to discover that the credit he is offered is very low. The bank teller cannot explain why. My stubborn friend continues his quest for explanation up to the bank executives, to discover that an algorithm lowered his credit score. Why? After a long investigation, it turns out that the reason is: bad credit by the former owner of my friend’s house. Black box AI systems for automated decision making, often based on ML over (big) data, map a user’s features into a class or a score without explaining why. This is problematic for lack of transparency, but also for possible biases inherited by the alg...
Partners
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