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Learning tractable probabilistic models for moral responsibility and blame
Moral responsibility is a major concern in autonomous systems, with applications ranging from self-driving cars to kidney exchanges. Although there...
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A pluralist hybrid model for moral AIs
With the increasing degrees AIs and machines, the need for implementing ethics in AIs is pressing. In this paper, we first survey current approaches...
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What should AI see? Using the public’s opinion to determine the perception of an AI
Deep neural networks (DNN) have made impressive progress in the interpretation of image data so that it is conceivable and to some degree realistic...
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The probability problems of the Moral Machine Experiment
The imminent proliferation of autonomous vehicles raises a host of ethical questions. To assess basic moral preferences for the behavior of these...
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Exploring differences in ethical decision-making processes between humans and ChatGPT-3 model: a study of trade-offs
This study aimed to investigate the decision-making abilities of ChatGPT-3, an artificial intelligence (AI) system, in ethical dilemmas, with a focus...
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Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context
During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for...
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An exploratory study on manifesting decision-inertia in a 360-degree extended reality terrorist incident
Emergency response decision making is crucial in managing critical incidents; however, several studies have demonstrated the negative effects of...
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Designing and application of modified SSA based ADRC controller for overhead crane systems
In this paper, a modified salp swarm algorithm (SSA) based active disturbance rejection control (ADRC) controller is designed to improve...
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Ethics of Self-driving Cars: A Naturalistic Approach
The potential development of self-driving cars (also known as autonomous vehicles or AVs – particularly Level 5 AVs) has called the attention of...
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TRIZ and Chaos: First Principles for Emergency First Responders
‘Someone somewhere already solved your problem’ is a commonly used TRIZ heuristic. It is often complemented with a recognition that the ‘someone’...
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Toward a shape-performance integrated digital twin based on hybrid reduced-order modeling for engineering structures
With the increasing demand for structural visualization, health monitoring, and fault diagnosis, the requirements for real-time and highly accurate...
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Robustness and Cultural Difference on Identifiable Victim Effect
This study reviews the unresolved identifiable victim effect (IVE) issues. IVE indicates that people are more willing to help an identified victim...
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What do academics say about artificial intelligence ethics? An overview of the scholarship
This paper presents an overview of the academic scholarship in artificial intelligence (AI) ethics. The goal is to assess whether the academic...
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How virtue signalling makes us better: moral preferences with respect to autonomous vehicle type choices
One of the moral questions concerning autonomous vehicles (henceforth AVs) is the choice between types that differ in their built-in algorithms for...
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A machine learning approach for detecting fatigue during repetitive physical tasks
Prolonged and repetitive stress on muscles, tendons, ligaments, and nerves can have long-term adverse effects on the human body. This can be...
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Gamification, Side Effects, and Praise and Blame for Outcomes
“Gamification” refers to adding game-like elements to non-game activities so as to encourage participation. Gamification is used in various contexts:...
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Securing the Future: Exploring Privacy Risks and Security Questions in Robotic Systems
The integration of artificial intelligence, especially large language models in robotics, has led to rapid advancements in the field. We are now...
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Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring
Ethics and ethical information processing are an important problem for AI development. It is important for self-evident reasons, but also challenging...