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Found 11 papers, 2 papers with code
A Hybrid Intelligence Method for Argument Mining
We find that, on the one hand, HyEnA achieves higher coverage and precision than a state-of-the-art automated method when compared to a common set of diverse opinions, justifying the need for human insight.
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
We focus on situations where a conflict is detected between participants' choices and motivations, and propose methods for estimating value preferences while addressing detected inconsistencies by interacting with the participants.
An Empirical Analysis of Diversity in Argument Summarization
Presenting high-level arguments is a crucial task for fostering participation in online societal discussions.
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
Our results show that a pluralist approach to morality can be captured in an embedding space.
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization
We present a review that unifies decision-support methods for exploring the solutions produced by multi-objective optimization (MOO) algorithms.
Do Differences in Values Influence Disagreements in Online Discussions?
We investigate a hypothesis that differences in personal values are indicative of disagreement in online discussions.
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
With the growing capabilities and pervasiveness of AI systems, societies must collectively choose between reduced human autonomy, endangered democracies and limited human rights, and AI that is aligned to human and social values, nurturing collaboration, resilience, knowledge and ethical behaviour.
MOPaC: The Multiple Offers Protocol for Multilateral Negotiations with Partial Consensus
Existing protocols for multilateral negotiation require a full consensus among the negotiating parties.
Towards Social Situation Awareness in Support Agents
Since many daily activities are social in nature, support agents should understand a user's social situation to offer comprehensive support.
Reason Against the Machine: Future Directions for Mass Online Deliberation
Designers of online deliberative platforms aim to counter the degrading quality of online debates.
A Data-Driven Method for Recognizing Automated Negotiation Strategies
Our approach includes a data generation method for an agent to generate domain-independent sequences by negotiating with a variety of opponents across domains, a feature engineering method for representing negotiation data as time series with time-step features and overall features, and a hybrid (recurrent neural network-based) deep learning method for recognizing an opponent's strategy from the time series of bids.
