Appraisals of harms and injustice trigger an eerie feeling that decreases trust in artificial intelligence systems
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-020-03702-9
Abstract: As artificial intelligence (AI) becomes more pervasive, the concern over how users can trust artificial agents is more important than ever before. In this research, we seek to understand the trust formation between humans and… read more here.
Keywords: harms injustice; artificial agents; artificial intelligence; appraisals harms ... See more keywords
Towards socially-competent and culturally-adaptive artificial agents
Sign Up to like & getrecommendations! Published in 2022 at "Interaction Studies"
DOI: 10.1075/is.22021.bas
Abstract: The development of artificial agents for social interaction pushes to enrich robots with social skills and knowledge about (local) social norms. One possibility is to distinguish the expressive and the functional orders during a human-robot… read more here.
Keywords: interaction; towards socially; competent culturally; culturally adaptive ... See more keywords
Artificial agents: responsibility & control gaps
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DOI: 10.1080/0020174x.2024.2410995
Abstract: Artificial agents create significant moral opportunities and challenges. Over the last two decades, discourse has largely focused on the concept of a ‘responsibility gap.’ We argue that this concept is incoherent, misguided, and diverts attention… read more here.
Keywords: control; responsibility control; artificial agents; agents responsibility ... See more keywords
Resilience engineering for highly automated driving, autonomous vehicles, and urban robotics: wizards and shepherds in hybrid societies
Sign Up to like & getrecommendations! Published in 2024 at "Theoretical Issues in Ergonomics Science"
DOI: 10.1080/1463922x.2024.2328062
Abstract: Abstract Introducing automated vehicles into road traffic and robots into urban public environments puts artificial agents in space-sharing conflicts with humans. Humans anticipate, avoid, and smoothly resolve space-sharing conflicts by implicit and explicit communication enabled… read more here.
Keywords: robotics; hybrid societies; public environments; operation ... See more keywords
Bio-Inspired Deep Reinforcement Learning for Autonomous Navigation of Artificial Agents
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DOI: 10.1109/tla.2019.9011549
Abstract: Autonomous navigation of artificial agents is a challenging task for changing and complex environments. Reinforcement learning (RL) algorithms are widely used for autonomous navigation, where the agent, through the interaction with the environment, learns the… read more here.
Keywords: reinforcement learning; autonomous navigation; artificial agents; navigation ... See more keywords
Confidence in uncertainty: Error cost and commitment in early speech hypotheses
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DOI: 10.1371/journal.pone.0201516
Abstract: Interactions with artificial agents often lack immediacy because agents respond slower than their users expect. Automatic speech recognisers introduce this delay by analysing a user’s utterance only after it has been completed. Early, uncertain hypotheses… read more here.
Keywords: uncertainty; error; speech; artificial agents ... See more keywords
Augmenting Human Selves Through Artificial Agents – Lessons From the Brain
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.892354
Abstract: Much of current artificial intelligence (AI) and the drive toward artificial general intelligence (AGI) focuses on developing machines for functional tasks that humans accomplish. These may be narrowly specified tasks as in AI, or more… read more here.
Keywords: lessons brain; augmenting human; brain; artificial agents ... See more keywords