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mUlti-Level Trustworthiness to IMprove the Adoption of hybrid arTificial intelligencE

CORDIS · observation · Publication date unknown

mUlti-Level Trustworthiness to IMprove the Adoption of hybrid arTificial intelligencE AI has entered the business mainstream, opening opportunities to boost productivity and innovation but suffer limitations hindering wider adoption of model-based or data-driven AI algorithms in industrial settings. Both approaches complement each other and form a critical foundation for the adoption of AI in industry. However, hybrid AI does not fully address the issue of trust (validity, explainability, and ethics). ULTIMATE will pioneer the development of industrial-grade hybrid AI based on three stages to ensure trustworthiness, relying on interdisciplinary data sources and adhering to physical constraints (1st stage), as well as the development of tools for explaining, evaluating and validating hybrid AI algorithms and asserting their adherence to ethical and legal regulations (2nd stage). These will be exemplified using real-world industrial use cases (3rd st

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recordType

award

status

SIGNED

region

EU

value

3529112.5

unit

EUR