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  • Symbolic knowledge representations for time-sensitive offensive language detection

    Project ID: STAI-CDT-2022-KCL-2
    Themes: AI Provenance, Logic
    Supervisor: Albert Meroño Peñuela, Barbara McGillivray

    Language models learned from data have become prevalent in AI systems, but they are sensitive to the identification of undesired behaviour posing risks to society, like offensive language. The task of automatic detection of...

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  • Creating and evolving knowledge graphs at scale for explainable AI

    Project ID: STAI-CDT-2022-KCL-1
    Themes: AI Provenance, Argumentation, Verification
    Supervisor: Prof Elena Simperl

    Knowledge graphs and knowledge bases are forms of symbolic knowledge representations used across AI applications. Both refer to a set of technologies that organise data for easier access, capture information about people,...

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  • Trusted AI with WikiEthics and Agent Reasoning

    Project ID: STAI-CDT-2021-KCL-14
    Themes: AI Provenance, Norms
    Supervisor: Albert Meroño Peñuela

    Deep learning has recently brought various AI breakthroughs in areas like computer vision, speech recognition, and language models. Thanks to these, digital photography is now at our fingertips, we can ask anything to home...

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  • Trustful Ontology Engineering and Reasoning through Provenance

    Project ID: STAI-CDT-2021-KCL-12
    Themes: AI Provenance, Logic
    Supervisor: Albert Meroño Peñuela

    Ontologies have become fundamental AI artifacts in providing knowledge to intelligent systems. The concepts and relationships formalised in these ontologies are frequently used to semantically annotate data, helping...

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