People's judgments of humans and robots in a classic moral dilemma
How do ordinary people evaluate robots that make morally significant decisions? Previous
work has found both equal and different evaluations, and different ones in either direction. In …
work has found both equal and different evaluations, and different ones in either direction. In …
From" AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
In this paper we investigate how people's level of trust (as reported through self-assessment)
in so-called “AI”(artificial intelligence) is influenced by anthropomorphizing language in …
in so-called “AI”(artificial intelligence) is influenced by anthropomorphizing language in …
[HTML][HTML] Reviewing human-robot collaboration in manufacturing: Opportunities and challenges in the context of industry 5.0
M Dhanda, BA Rogers, S Hall, E Dekoninck… - Robotics and Computer …, 2025 - Elsevier
Abstract Industry 4.0 (I4. 0) has been characterized by the increasing use of automation,
artificial intelligence, and big data in manufacturing. It has brought different machines, tools …
artificial intelligence, and big data in manufacturing. It has brought different machines, tools …
Intelligence brings responsibility-Even smart AI assistants are held responsible
People will not hold cars responsible for traffic accidents, yet they do when artificial
intelligence (AI) is involved. AI systems are held responsible when they act or merely advise …
intelligence (AI) is involved. AI systems are held responsible when they act or merely advise …
Causal framework of artificial autonomous agent responsibility
Recent empirical work on people's attributions of responsibility toward artificial autonomous
agents (such as Artificial Intelligence agents or robots) has delivered mixed findings. The …
agents (such as Artificial Intelligence agents or robots) has delivered mixed findings. The …
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
Current Large Language Models (LLMs) are unparalleled in their ability to generate
grammatically correct, fluent text. LLMs are appearing rapidly, and debates on LLM …
grammatically correct, fluent text. LLMs are appearing rapidly, and debates on LLM …
Mindful explanations: Prevalence and impact of mind attribution in xai research
When users perceive AI systems as mindful, independent agents, they hold them
responsible instead of the AI experts who created and designed these systems. So far, it has …
responsible instead of the AI experts who created and designed these systems. So far, it has …
[HTML][HTML] Human control redressed: Comparing AI and human predictability in a real-effort task
Predictability is a prerequisite for effective human control of artificial intelligence (AI). For
example, the inability to predict the malfunctioning of AI impedes timely human intervention …
example, the inability to predict the malfunctioning of AI impedes timely human intervention …
[HTML][HTML] The presence of automation enhances deontological considerations in moral judgments
The rapid deployment of semi-autonomous systems (ie, systems requiring human
monitoring such as Uber AVs) poses ethical challenges when these systems face morally …
monitoring such as Uber AVs) poses ethical challenges when these systems face morally …
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts
AI is getting more involved in tasks formerly exclusively assigned to humans. Most of
research on perceptions and social acceptability of AI in these areas is mainly restricted to …
research on perceptions and social acceptability of AI in these areas is mainly restricted to …