Research output per year
Research output per year
Personal profile
Biographical details
I am a PhD student in the UKRI CDT in Safe and Trusted AI. My research seeks to model moral reasoning as a subjective, dialectical process with applications to the study and manipulation of large language models.
My professional background has primarily involved agent-based modelling of complex adaptive systems (for example, the UK retail banking market) in interdisciplinary teams involving industry, academic, and governmental stakeholders.
My undergraduate degree was in computer science and my dissertation applied agent-based epidemiological models to modelling the spread of information during the 2016 US presidental election.
Research interests
My research interests are a broad subset of artificial intelligence: including formal logic and argumentation, agents and multi-agent systems, deep learning, and machine ethics.
Research interests (short)
Formal Logic and Argumentation • Agents & Multi-Agent Systems • Deep Learning • Machine Ethics
Education/Academic qualification
Computer Science, Bachelor of Science, King's College London
1 Sept 2015 → 31 Aug 2019
Award Date: 31 Aug 2019
Keywords
- BC Logic
- QA75 Electronic computers. Computer science
- BJ Ethics
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Research output
- 2 Conference paper
-
Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS)
Jackson, A., Schoots, N., Ahantab, A., Luck, M. & Black, E., 1 May 2023, (Accepted/In press) 2023 Conference on Artificial Life. MIT Press, 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile32 Downloads (Pure) -
Neuroevolution Ticket Search — Finding Sparse, Trainable DNN Initialisations
Jackson, A., Schoots, N., Luck, M. & Black, E., 3 Mar 2023, (Accepted/In press) International Conference on Learning Representations 2023: Workshop on Sparsity in Neural Networks. 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile27 Downloads (Pure)