Maite López-Sánchez
Biographic Data
| ID | 9283470 |
|---|---|
| NAME | Maite López-Sánchez |
| GIVEN NAMES | Maite |
| FAMILY NAME | López-Sánchez |
| SIGNATURE | LÓPEZ-SÁNCHEZ M |
| AFFILIATIONS | Universitat de Barcelona |
| ORCID | 0000-0002-1838-5928 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Instilling moral value alignment by means of multi-objective reinforcement learning
AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. Here, we propose a novel way of tackling the value alignment problem as a two-step process. The first step consists on formalising moral values and value aligned behaviour based on philosophical foundations. Our formalisation is compatible with the framework of (Multi-Objective) Reinforcement Learning, to ease the…
Artificial Intelligence for a Fair, Just, and Equitable World
From the 1970s onward, we started to dream of the leisure society in which, thanks to technological progress and consequent increase in productivity, working hours would be minimized and we would all live in abundance. We all could devote our time almost exclusively to personal relationships, contact with nature, sciences, the arts, playful activities, and so on. Today, this utopia seems more unattainable than it did then. Since the 21st century,…
No prominent works on this page.
Artificial Intelligence for a Fair, Just, and Equitable World
From the 1970s onward, we started to dream of the leisure society in which, thanks to technological progress and consequent increase in productivity, working hours would be minimized and we would all live in abundance. We all could devote our time almost exclusively to personal relationships, contact with nature, sciences, the arts, playful activities, and so on. Today, this utopia seems more unattainable than it did then. Since the 21st century,…
Instilling moral value alignment by means of multi-objective reinforcement learning
AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. Here, we propose a novel way of tackling the value alignment problem as a two-step process. The first step consists on formalising moral values and value aligned behaviour based on philosophical foundations. Our formalisation is compatible with the framework of (Multi-Objective) Reinforcement Learning, to ease the…
Artificial Intelligence (2 works) · Computer Science (2 works) · Ethics and Social Impacts of AI (2 works) · Art (1 work) · Art history (1 work) · Demography (1 work) · Dream (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Human–computer interaction (1 work) · Humanities (1 work)