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Found 15 papers, 0 papers with code
Clash of the Explainers: Argumentation for Context-Appropriate Explanations
In this paper, we propose a modular reasoning system consisting of a given mental model of the relevant stakeholder, a reasoner component that solves the argumentation problem generated by a multi-explainer component, and an AI model that is to be explained suitably to the stakeholder of interest.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Social AI and the Challenges of the Human-AI Ecosystem
In order to understand the impact of AI on socio-technical systems and design next-generation AIs that team with humans to help overcome societal problems rather than exacerbate them, we propose to build the foundations of Social AI at the intersection of Complex Systems, Network Science and AI.
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.
Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals
In this paper, we present an analysis of existing AI recommendations from 10 different countries or organisations based on topic modelling techniques to identify how much these strategy documents refer to the SDGs.
Let it RAIN for Social Good
Artificial Intelligence (AI) as a highly transformative technology take on a special role as both an enabler and a threat to UN Sustainable Development Goals (SDGs).
Responsible Artificial Intelligence -- from Principles to Practice
The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations.
Relational Artificial Intelligence
The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations.
Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation
This paper provides the domain-independent Social Practice Agent (SoPrA) framework that satisfies requirements from the literature to simulate our routines.
Contestable Black Boxes
The right to contest a decision with consequences on individuals or the society is a well-established democratic right.
Improving Confidence in the Estimation of Values and Norms
This paper analyses to what extent an AA is able to estimate the values and norms of a simulated human agent (SHA) based on its actions in the ultimatum game.
Bias in Machine Learning -- What is it Good for?
In public media as well as in scientific publications, the term \emph{bias} is used in conjunction with machine learning in many different contexts, and with many different meanings.
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
These advantages will have an impact on the well-being of AI systems users at large, building their trust and providing them with concrete knowledge on how systems adhere to moral values.
The role of artificial intelligence in achieving the Sustainable Development Goals
We find that AI can support the achievement of 128 targets across all SDGs, but it may also inhibit 58 targets.
A Logic of Agent Organizations
Organization concepts and models are increasingly being adopted for the design and specification of multi-agent systems.
Responsible Autonomy
As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions.
