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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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