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HHAI 2024: Hybrid Human AI Systems for the Social Good : Proceedings of the Third International Conference on Hybrid Human-Artificial Intelligence

Lorig, Fabian (redaktör/utgivare)
Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Internet of Things and People (IOTAP),Malmö University, Sweden
Tucker, Jason (redaktör/utgivare)
Malmö universitet,Institutionen för globala politiska studier (GPS),Malmö University, Sweden
Dahlgren Lindström, Adam, 1993- (redaktör/utgivare)
Umeå universitet,Institutionen för datavetenskap
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Dignum, Frank (redaktör/utgivare)
Umeå universitet,Institutionen för datavetenskap
Murukannaiah, Pradeep (redaktör/utgivare)
TU Delft, The Netherlands
Theodorou, Andreas (redaktör/utgivare)
Universitat Politècnica de Catalunya, Spain
Yolum, Pinar (redaktör/utgivare)
Utrecht University, The Netherlands
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 (creator_code:org_t)
ISBN 9781643685229
Amsterdam : IOS Press, 2024
Engelska 512 s.
Serie: Frontiers in Artificial Intelligence and Applications, 1879-8314 ; 386
  • Proceedings (redaktörskap) (refereegranskat)
Abstract Ämnesord
Stäng  
  •  The field of hybrid human-artificial intelligence (HHAI), although primarily driven by developments in AI, also requires fundamentally new approaches and solutions. Multidisciplinary in nature, it calls for collaboration across various research domains, such as AI, HCI, the cognitive and social sciences, philosophy and ethics, and complex systems, to name but a few. This book presents the proceedings of HHAI 2024, the 3rd International Conference on Hybrid Human-Artificial Intelligence, held from 10-14 June 2024 in Malmö, Sweden. The focus of HHAI 2024 was on artificially-intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying rather than replacing human intelligence. A total of 62 submissions were received for the main track of the conference, of which 31 were accepted for presentation after a thorough double blind review process. These comprised 9 full papers, 5 blue sky papers, and 17 working papers, making the final acceptance rate for full papers 29%. Acceptance rate across all tracks of the main program was 50%. This book contains all submissions accepted for the main track, as well as the proposals for the Doctoral Consortium and extended abstracts from the Posters and Demos track. Topics covered include human-AI interaction and collaboration; learning, reasoning and planning with humans and machines in the loop; fair, ethical, responsible, and trustworthy AI; societal awareness of AI; and the role of design and compositionality of AI systems in interpretable/collaborative AI, among others. Providing a current overview of research and development, the book will be of interest to all those working in the field and facilitate the ongoing exchange and development of ideas across a range of disciplines.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Artificial intelligence
human computer nitration
social good
hybrid

Publikations- och innehållstyp

ref (ämneskategori)
pro (ämneskategori)

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