11 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
A Method for Learning Value Systems in Generative AI
Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowski
Value-aware AI systems require explicit computational representations of human values (groundings) and their aggregation into value systems in order to align their decisions with o…
Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture
Eduardo de la Cruz Fernández, Marcelo Karanik, Sascha Ossowski
As intelligent systems become more autonomous, the scientific community focuses on creating decision-making mechanisms that include ethical and moral considerations, unlike traditi…
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning
Andrés Holgado-Sánchez, Peter Vamplew, Richard Dazeley +2
Value-aware AI should recognise human values and adapt to the value systems (value-based preferences) of different users. This requires operationalization of values, which can be p…
Learning the Value Systems of Agents with Preference-based and Inverse Reinforcement Learning
Andrés Holgado-Sánchez, Holger Billhardt, Alberto Fernández +1
Agreement Technologies refer to open computer systems in which autonomous software agents interact with one another, typically on behalf of humans, in order to come to mutually acc…