Comparing Socio-technical Design Principles with Guidelines for Human-centered A
arXiv:2604.21103v1 Announce Type: new Abstract: Governments are increasingly interested in using AI to make administrative decisions cheaper, more scalable, and more consistent.
arXiv:2609.31793v1 Announce Type: new Abstract: Artificial Intelligence (AI), particularly GenAI, is becoming an increasingly important part of modern work. In industrial
arXiv:2603.24853v1 Announce Type: new Abstract: Ethical debates in AI have primarily focused on back-end issues such as data governance, model training, and algorithmic
arXiv:2603.18895v1 Announce Type: cross Abstract: Artificial intelligence (AI) systems are deployed as collaborators in human decision-making. Yet, evaluation practices focus
arXiv:2606.18716v1 Announce Type: cross Abstract: As AI agents are increasingly integrated into core business processes, understanding and designing effective interaction patterns
arXiv:2604.23049v1 Announce Type: new Abstract: AI agents are increasingly deployed to execute tasks and make decisions within agentic workflows, introducing new requirements for
arXiv:2606.24224v1 Announce Type: new Abstract: Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms' idiosyncratic risks (IR)
arXiv:2604.22227v1 Announce Type: cross Abstract: Classical robot ethics is often framed around obedience, most famously through Asimov's laws. This framing is too narrow for
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