Zobrazeno 1 - 10
of 3 464
pro vyhledávání: '"A. Sarkadi"'
Large language models (LLMs) can provide users with false, inaccurate, or misleading information, and we consider the output of this type of information as what Natale (2021) calls `banal' deceptive behaviour. Here, we investigate peoples' perception
Externí odkaz:
http://arxiv.org/abs/2406.08386
Autor:
Sarkadi, Stefan
Humans and machines interact more frequently than ever and our societies are becoming increasingly hybrid. A consequence of this hybridisation is the degradation of societal trust due to the prevalence of AI-enabled deception. Yet, despite our unders
Externí odkaz:
http://arxiv.org/abs/2406.05724
Communication plays a vital role for coordination in Multi-Agent Reinforcement Learning (MARL) systems. However, misaligned agents can exploit other agents' trust and delegated power to the communication medium. In this paper, we propose power regula
Externí odkaz:
http://arxiv.org/abs/2404.06387
Self-organising multi-agent systems regulate their components' behaviour voluntarily, according to a set of socially-constructed, mutually-agreed, and mutable social arrangements. In some systems, these arrangements may be applied with a frequency, a
Externí odkaz:
http://arxiv.org/abs/2403.16329
ChatGPT, an AI chatbot, has gained popularity for its capability in generating human-like responses. However, this feature carries several risks, most notably due to its deceptive behaviour such as offering users misleading or fabricated information
Externí odkaz:
http://arxiv.org/abs/2306.13671
Autor:
Sergio Flores, Anna Sarkadi
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Historically marked by a high infant mortality rate, Sweden’s healthcare reforms have successively led to a robust, decentralized universal child health system covering over 97% of the population 0–5 years. However, inequities
Externí odkaz:
https://doaj.org/article/c55a48aa187f4dcfb061f5ca3fd3d31f
Autor:
Natalie Durbeej, Raziye Salari, Anna Sarkadi, Reeta Kankaanpä, Ilse Derluyn, An Verelst, Fatumo Osman
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background During recent years, Europe has faced the arrival of migrants whereof a considerable group of youth present mental health problems, such as symptoms of post-traumatic stress disorder (PTSD). Schools offer a safe environment for me
Externí odkaz:
https://doaj.org/article/12f4c25fe7de40a3acab5442f7ded85f
Autor:
Lewis, Peter R., Sarkadi, Stefan
Publikováno v:
Minds & Machines 34, 14 (2024)
Artificial Intelligence (AI) is about making computers that do the sorts of things that minds can do, and as we progress towards this goal, we tend to increasingly delegate human tasks to machines. However, AI systems usually do these tasks with an u
Externí odkaz:
http://arxiv.org/abs/2301.10823
Publikováno v:
International Journal of Qualitative Methods, Vol 23 (2024)
The value of taking advantage of the participants’ interactions when analyzing focus group data is often stressed. However, there is a lack of detailed descriptions of how focus group data can be merged with interview data, and considered throughou
Externí odkaz:
https://doaj.org/article/84bf016b76ec46fd98b832b57e2b7b1c
Autor:
Anna Pérez‐Aronsson, Elin Inge, Heba Alanbari, Iman Alsalamah, Miras Ghannoum, Zozan Abu Mohammad, Frida Johansson Metso, Frida Holmqvist, Johanna Belachew, Tove Filén, Frida Pålsson Hennoks, Anna Sarkadi, Georgina Warner
Publikováno v:
Health Expectations, Vol 27, Iss 4, Pp n/a-n/a (2024)
Abstract Background Experiencing gender‐based violence (GBV) is common among refugees. Intersecting systems of oppression can increase the risk of GBV and of suffering detrimental consequences, while concurrently creating barriers to meaningful sup
Externí odkaz:
https://doaj.org/article/50a42aff27e1495e938624d93db13508