Project ID: STAI-CDT-2023-IC-9
Themes: AI Planning, Logic
Supervisor: Dr Marek Rei
Large language models have become the main backbone of most state-of-the-art NLP systems. By pre-training on very large datasets with unsupervised objectives, these models are able to learn good representations for language...
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Project ID: STAI-CDT-2023-IC-8
Themes: AI Planning
Supervisor: Dr Marek Rei
Large language models have become the main backbone of most state-of-the-art NLP systems. By pre-training on very large datasets with unsupervised objectives, these models are able to learn good representations for language...
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Project ID: STAI-CDT-2023-KCL-29
Themes: AI Planning, Verification
Supervisor: Dr Stefanos Leonardos, Dr. William Knottenbelt (Imperial College London)
Background: With recent technological advancements, multi-agent interactions have become increasingly complex, ranging from deep learning models and powerful neural networks to blockchain-based cryptoeconomies. However, as...
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Project ID: STAI-CDT-2023-KCL-28
Themes: AI Planning
Supervisor: Dr Gerard Canal, Dr Albert Meroño-Peñuela
Task Planning (also known as Symbolic Planning or AI Planning) has proved to be a very useful technique to tackle the decision-making problem in robotics. Given a set of task goals, the planner can come up with a set of...
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Project ID: STAI-CDT-2023-KCL-20
Themes: AI Planning, Logic, Verification
Supervisor: David Watson
The current state of the art in generative modelling is dominated by neural networks. Despite their impressive performance on many benchmark tasks, these algorithms do not provide tractable inference for common and...
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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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Project ID: STAI-CDT-2023-KCL-2
Themes: AI Planning
Supervisor: Martim Brandao
Planning algorithms are used in a variety of contexts, from navigation apps to recommendation algorithms, robot vacuums, autonomous vehicles, etc.Companies using such algorithms have financial incentives to manipulate (or...
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Project ID: STAI-CDT-2023-KCL-3
Themes: AI Planning
Supervisor: Martim Brandao
Robotics are already being used in warehouses, factories, super markets, homes, hazardous sites and other applications. While many issues of stereotypes, disparate impact, and harmful impact of AI have been brought to the...
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Project ID: STAI-CDT-2022-KCL-10
Themes: AI Planning, Logic, Verification
Supervisor: Mohammad Abdulaziz
Constructing a world-model is a fundamental part of model-based AI, e.g. planning. Usually, such a model is constructed by a human modeller and it should capture the modeller’s intuitive understanding of the world dynamics...
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Project ID: STAI-CDT-2021-IC-24
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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Project ID: STAI-CDT-2021-IC-23
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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Project ID: STAI-CDT-2021-IC-22
Themes: AI Planning, Logic, Verification
Supervisor: Francesco Belardinelli
The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...
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