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• Fast Reinforcement Learning using Memory-Augmented Neural Networks

  Project ID: STAI-CDT-2023-KCL-27
  Themes: Norms, Reasoning
  Supervisor: Yali Du, Albert Meroño Peñuela

  Reinforcement learning resembles human learning with intelligence accumulated through experiment. To attain expert human-level performance on tasks such as Atari video games or chess, deep RL systems have required many...

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• Extracting interpretable symbolic representations from neural networks using information theory and causal abstraction

  Project ID: STAI-CDT-2023-IC-4
  Themes: Logic, Norms, Reasoning
  Supervisor: Pedro Mediano

  Neurosymbolic systems seek to combine the strengths of two major classes of AI algorithms: neural networks, able to recognise patterns in unstructured data, and logic-based systems, capable of powerful reasoning. One of the...

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• Improving Robustness of Pre-Trained Language Models

  Project ID: STAI-CDT-2023-KCL-25
  Themes: Logic, Norms, Reasoning
  Supervisor: Yulan He

  Recent efforts to Natural Language Understanding (NLU) have been largely exemplified in tasks such as natural language inference, reading comprehension and question answering. We have witnessed the shift of paradigms in NLP...

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• Trusted Collective Intelligence through Norms, Ontologies and Provenance

  Project ID: STAI-CDT-2023-KCL-12
  Themes: AI Provenance, Norms
  Supervisor: Elena Simperl, Dr Timothy Neate

  Collective intelligence (CI) communities are among the greatest examples of collaboration, capability, and creativity of the digital age. CI communities allow large groups of individuals to work together towards a shared...

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• Automatic Testing and Fixing Learning-based Conversational Agents with Knowledge Graphs

  Project ID: STAI-CDT-2023-KCL-10
  Themes: Norms, Verification
  Supervisor: Jie Zhang, Mohammad Mousavi

  Background: Learning-based conversational agents can generate conversations that violate basic logical rules and common sense, which can seriously affect user experience and lead to mistrust and frustration. To create...

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• Data Bias Evaluation and Mitigation via Rule-based Classification

  Project ID: STAI-CDT-2023-KCL-9
  Themes: Norms
  Supervisor: Jie Zhang, Gunel Jahangirova

  Motivation: Training data can be severely biased. The existing metrics of data bias are based on data balance situations conditioned on protected attributes. This is coarse-grained and does not consider the relationship...

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• Computational Social Choice and Machine Learning for Ethical Decision Making

  Project ID: STAI-CDT-2023-KCL-5
  Themes: AI Planning, Argumentation, Norms, Reasoning
  Supervisor: Maria Polukarov

  The problem of ethical decision making presents a grand challenge for modern AI research. Arguably, the main obstacle to automating ethical decisions is the lack of a formal specification of ground-truth ethical principles,...

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• Causal Decentralised Finance

  Project ID: STAI-CDT-2022-KCL-3
  Themes: Logic, Norms, Verification
  Supervisor: Hana Chockler

  The goal of this project is to develop a causality-based framework for the analysis of decentralised finance (DeFi), based on the principled approach of actual causality [1] and responsibility [2], the latter pioneered by...

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