27 citations · 57 across the 20 of their papers we have counts for
20 papers
Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models
Alex O. Davies, Telmo de Menezes e Silva Filho, Nirav Ajmeri
Tabular foundation models are pre-trained on one of three classes of corpus: curated datasets drawn from benchmark repositories, tables harvested at scale from the web, or syntheti…
Language Models Do Not Embed Numbers Continuously
Alex O. Davies, Roussel Nzoyem, Nirav Ajmeri +1
Recent research has extensively studied how large language models manipulate integers in specific arithmetic tasks, and on a more fundamental level, how they represent numeric valu…
A Metric for the Balance of Information in Graph Learning
Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
Graph learning on molecules makes use of information from both the molecular structure and the features attached to that structure. Much work has been conducted on biasing either t…
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents
Jessica Woodgate, Paul Marshall, Nirav Ajmeri
Social norms are standards of behaviour common in a society. However, when agents make decisions without considering how others are impacted, norms can emerge that lead to the subj…
Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
Seth Bullock, Nirav Ajmeri, Mike Batty +15
Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or trans-national scale…
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exannaagent considers the values of itself and others when providing rationales for…
Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
A multiagent system is a society of autonomous agents whose interactions can be regulated via social norms. In general, the norms of a society are not hardcoded but emerge from the…
Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models
Alex O. Davies, Riku W. Green, Nirav S. Ajmeri +1
The principal benefit of unsupervised representation learning is that a pre-trained model can be fine-tuned where data or labels are scarce. Existing approaches for graph represent…
Towards Equitable Privacy
Kopo M. Ramokapane, Lizzie Coles-Kemp, Nikhil Patnaik +4
Ensuring equitable privacy experiences remains a challenge, especially for marginalised and vulnerable populations (MVPs) who often hesitate to participate or use digital services…
Size Matters: Large Graph Generation with HiGGs
Alex O. Davies, Nirav S. Ajmeri, Telmo M. Silva Filho
Large graphs are present in a variety of domains, including social networks, civil infrastructure, and the physical sciences to name a few. Graph generation is similarly widespread…
Social Value Orientation and Integral Emotions in Multi-Agent Systems
Daniel Collins, Conor Houghton, Nirav Ajmeri
Human social behavior is influenced by individual differences in social preferences. Social value orientation (SVO) is a measurable personality trait which indicates the relative i…
Understanding Mobile App Reviews to Guide Misuse Audits
Vaibhav Garg, Hui Guo, Nirav Ajmeri +2
Problem: We address the challenge in responsible computing where an exploitable mobile app is misused by one app user (an abuser) against another user or bystander (victim). We int…
Realistic Synthetic Social Networks with Graph Neural Networks
Alex Davies, Nirav Ajmeri
Social network analysis faces profound difficulties in sharing data between researchers due to privacy and security concerns. A potential remedy to this issue are synthetic network…
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh
Norms help regulate a society. Norms may be explicit (represented in structured form) or implicit. We address the emergence of explicit norms by developing agents who provide and r…
Macro Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions
Jessica Woodgate, Nirav Ajmeri
Responsible AI must be able to make or support decisions that consider human values and can be justified by human morals. Accommodating values and morals in responsible decision ma…
Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of agents or humans. To achieve agent a…
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
Veljko Dubljević, George F. List, Jovan Milojevich +12
The expansion of artificial intelligence (AI) and autonomous systems has shown the potential to generate enormous social good while also raising serious ethical and safety concerns…
Moral and Social Ramifications of Autonomous Vehicles
Veljko Dubljević, Sean Douglas, Jovan Milojevich +4
Autonomous Vehicles (AVs) raise important social and ethical concerns, especially about accountability, dignity, and justice. We focus on the specific concerns arising from how AV…
Prosocial Norm Emergence in Multiagent Systems
Mehdi Mashayekhi, Nirav Ajmeri, George F. List +1
Multiagent systems provide a basis for developing systems of autonomous entities and thus find application in a variety of domains. We consider a setting where not only the member…
Norms and Sanctions as a Basis for Promoting Cybersecurity Practices
Nirav Ajmeri, Shubham Goyal, Munindar P. Singh
Many cybersecurity breaches occur due to users not following good cybersecurity practices, chief among them being regulations for applying software patches to operating systems, up…