دورية أكاديمية
Responsible living labs: what can go wrong?
| العنوان: | Responsible living labs: what can go wrong? |
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| المؤلفون: | Habibipour, Abdolrasoul |
| بيانات النشر: | LuleÃ¥ tekniska universitet, Digitala tjänster och system |
| سنة النشر: | 2024 |
| المجموعة: | Luleå University of Technology Publications / Publikationer Luleå Tekniska Universitet |
| مصطلحات موضوعية: | Ethics, Artificial intelligence, Living Lab, Digital transformation, Responsible research and innovation, Etik, Information Systems, Social aspects, Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning |
| الوصف: | Purpose: This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab†(RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field. Design/methodology/approach: The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI. Findings: This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection. Originality/value: The proposed definition of RLL introduces a framework ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | Journal of Information, Communication and Ethics in Society, 1477-996X, 2024; orcid:0000-0001-5637-9572; http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104573Test |
| DOI: | 10.1108/jices-11-2023-0137 |
| الإتاحة: | https://doi.org/10.1108/jices-11-2023-0137Test http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104573Test |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.2AF13173 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1108/jices-11-2023-0137 |
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