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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Project ID: STAI-CDT-2021-IC-20
Themes: AI Planning, Logic, Verification
Supervisor: Dalal Alrajeh
AI Planning is concerned with producing plans that are guaranteed to achieve a robot’s goals, assuming the pre-specified assumptions about the environment in which it operates hold. However, no matter how detailed these...
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Project ID: STAI-CDT-2021-KCL-15
Themes: AI Planning, Verification
Supervisor: Kevin Lano
Machine learning (ML) approaches such as encoder-decoder networks and LSTM have been successfully used for numerous tasks involving translation or prediction of information (Otter et al, 2020). However, the knowledge...
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Project ID: STAI-CDT-2021-KCL-11
Themes: AI Planning
Supervisor: Gerard Canal, Andrew Coles
Autonomous systems such as robots may become another appliance found in our homes and workplaces. In order to have such systems helping humans to perform their tasks, they must be as autonomous as possible, to prevent...
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Project ID: STAI-CDT-2021-IC-2
Themes: AI Planning, Logic
Supervisor: Alessandra Russo
Recent advances in deep reinforcement learning (DRL) have allowed computer programs to beat humans at complex games like Chess or Go years before the original projections. However, the SOTA in DRL misses out on some of the...
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