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Found 10 papers, 1 papers with code
Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making
We classify policies as discriminatory or non-discriminatory against the poor, with the support of specialized NGOs, and we observe the results in the AABM in terms of the impact on wealth inequality.
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
This paper conducts a user study to assess whether three machine learning (ML) interpretability layouts can influence participants' views when evaluating sentences containing hate speech, focusing on the "Misogyny" and "Racism" classes.
Modelling Human Values for AI Reasoning
Taking as our starting point the wealth of research investigating the nature of human values from social psychology over the last few decades, we set out to provide such a formal model.
Leveraging Diversity in Online Interactions
This paper addresses the issue of connecting people online to help them find support with their day-to-day problems.
A computational framework of human values for ethical AI
In the diverse array of work investigating the nature of human values from psychology, philosophy and social sciences, there is a clear consensus that values guide behaviour.
Human Values in Multiagent Systems
One of the major challenges we face with ethical AI today is developing computational systems whose reasoning and behaviour are provably aligned with human values.
Value Engineering for Autonomous Agents
We argue that this type of normative reasoning, where agents are endowed with an understanding of norms' moral implications, leads to value-awareness in autonomous agents.
uHelp: intelligent volunteer search for mutual help communities
uHelp's intelligent search for volunteers is based on a number of AI technologies: (1) a novel trust-based flooding algorithm that navigates one's social network looking for appropriate trustworthy volunteers; (2) a novel trust model that maintains the trustworthiness of peers by learning from their similar past experiences; and (3) a semantic similarity model that assesses the similarity of experiences.
Value alignment: a formal approach
Value alignment is then defined, and computed, for a given norm with respect to a given value through the increase/decrease that it results in the preferences of future states of the world.
Learning for Detecting Norm Violation in Online Communities
In this paper, we focus on normative systems for online communities.
