Hybrid Intelligence Across Contexts From Conceptualisation To

Bonisiwe Shabane
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hybrid intelligence across contexts from conceptualisation to

Andy Nguyen, University of Oulu[email protected] Michail Giannakos, Norwegian University of Science and Technology (NTNU)[email protected] Vassilis Kostakos, University of Melbourne[email protected] Alexander Richter, Victoria University of Wellington[email protected] Matthias Söllner, University of Kassel[email protected] 📣 Call for Papers | How do humans and AI systems co-think, co-adapt, and co-learn?

We’re inviting submissions to our Special Issue in Behaviour & Information Technology: 👉 Hybrid Intelligence Across Contexts – From Conceptualisation to Empirical Evidence 🔍 Welcoming work from Information Systems, HCI, Learning Sciences, and beyond. We’re looking for interdisciplinary studies on human-AI collaboration, shared regulation, and real-world hybrid intelligence systems. 🗓️ Submission deadline: Jan 10, 2026 Bring your perspective. Let’s shape the future of Hybrid Intelligence—together check out: https://lnkd.in/dGZK_yFa with Michail Giannakos , Vassilis Kostakos , Alexander Richter , & Matthias Söllner #HybridIntelligence #HumanAI #InformationSystems #HCI #LearningSciences #AIEducation #CallForPapers #BehaviourAndIT [`ޠ��U������?]�����f�J�s������W�6�3 ?4�(V]؆��5�o��B��I��Y} ����H?Q����;|0��e�B�y��=��3�P"�c���}�U�f�}�<�-�O$�.���`_7�����_�LY�;"�����)��ra�C��֝Ɨ>�y^Ʒ-��g� &��K`nc�FkC]r��v_���+] ��U]Oc"���1�Ϸ=?�2�7�~�����M��S�4� AKB�^�Q����c�� ��$TM��+��dr��p�Y4��dXQo�ޝ�*��7�ξ X�eUq3TLcC ��LK��i��a��q��Ŕ>ϕv7|�%���B %�ZZ?��ŋ.���@}�������͙�-��r�y�d�����"��׆r%9`�9�S� ���e�r� ?����IHq� ��q���{=��W ��J>�����ҶA�o�{iVS�������-�������&��6F:4>b����.]O��T� �*P]�dRE]5S�q=����=�q5�DJ�脬��Ub��J5�,8��h�E#.K*._ ��w�����=�� ��X�R@Q�!><[�`�p�2���4�u�J&4��1#V�����5�ޮ��^I�d xٟx��Ly�5� ��hi����x������8D�^�4$��oȧ�rQL@�ZşE/���H�5�ac*�����G�6u��rxJ��kQD�C���Rs��y�� !��a��Q)EЫ2�n���D�3s6~��X2�}�i)�d+�}��RU����p���v�eӶ�ߋh�)��o�ͭ��'+�N ���t���A5����z��%�0��-�v�y�[��'^�� O'�Q�����>�U�c3�p���*�V��``*��_�~:�.��F�Q)��n v&[x�g(��~�6kr�;Gm����7϶V�}�bv�Q>�����J�J���7}@��m�� q��s���5���Fn�<64c6��ϴF��1�+�@�v`��o���JO( M�����(a�Y��N9�[ɚ��<�Eٴz���ȴ��&���y��e�r����`f�I~�J�Icq�Q��_fk�Iͽ�yl䗸C�C����-Gt{����/B���'!� ��~IK;��?���FD ?��O�)&�/� ;��%�\����,��l�($\t�k�����\"��.���`�-h����0m?p��E��1��B��z� <���;�/ؒ�z�B�� �7�ebD4��������}e���^g����g���F����o��v���Y^�s1Z�+|�]T�j�Q��LK$�jh"���KY��ߙ�*C����F�tu���I�޸�LąEи}>�t��J�z�#��Qmc��y�"R� ,PPz�C�w��Dw��40�R�w!� �;��$6�ǰ-�'��F�n �WC]1 2w�E... [�w����JT��k��c�/�c5l$u0G���&@�?W\�c�&'ڨ4�0d4�u J DZ�2�u��煢�Va�c,�M��/YDa�Ŏ �(���!=ng��M�Y�_q���EaFR��_�Zӯ����!rH+�y�4$aq�ל{�]W��z���'�Ɓ������4�_�z�@ �r�@~�!�e�$���&�kFQ3��ij- ֚h�!@D0B�޹��G��!8�흴��mJ����i�J*>��yK�c�x��wݠ:�����K���h�=�/�@��N��a�KI�&���n6b�F��k)�!ф����D�hh0��IUd�� ��M�B��(Q����P��S�cS̲� |FF��� Dy��-�͒�98�:�8�#1g�˩�1���d���r�� +�� ��b��q�Ҍ-���t�0 \8��X J���^#|���:V�Y�<����ꕥ���嵯���vQ,��8^�6�X�/-_P;�p����� ��{߈q����I,< �����.�˴UX�e��� ����C��b�����n��.�6�Q�qBEE�D�4<ו�aͦ�p�Ps5%��N���;G=ރ�6�K ��P������& \n8���mݰlj�˗Yr�_��Ġe�ʴ��+J��۬�Z��V%96��*jwc����wb��}8Io�0� ͣA'k�QEA��T_f^�O�yv����\������sp+|L�b�J�Ģ��]�_N�~7��d��y�qq���zP�^B�h�}��ٮ�v�T&���Q�CF�-�+��/ik�6���ީ=����̭�L��1TO����z�4 6���)�G�����f��u��/ͬ]{Mj����kԓ��e����{Z�w�7"Tz� ��w�e�t������n?�[b�����:_���] X��kH��� � v"��˅S��H^q�0�t��e@���!�i�z:�˹R���RNt�>~���w��;��9�{�1�X,N߭��h*�&�OJ�K�G�|7d��1��CSC�[]65@�;2p��1���!��>g����c!�ЊRƤz[��� �c�r(�l��J��ݔ�t6nA�4��[0C4�T�J���c��u]_���9U��9������d��4{m��ܟ�^eQ[�bĤG�(W���)P�NF)��!�‚���J�2Yk�n�8L��u���'�tI(��3_����7�� �7��U���4G��l3���}z���@�!� �M�%�a������x��z��l��פ��eS�IU��ث���M�~���% 5��>��)��s����bl�����?��S��/�b ���Z�.z��G���9��Ge����Nܴ�X��x� H�(���EQة��oz׹'�H$�$�XC��LP�����j,�{�E�)��� ֙p�Ȼ�g�8�s�@rH�\X�&��M��9��L������CbRQ��T:R�`��|��z�L'�=�4C���ߎ7x�8o!��=�"�#yPap�Fb&�4)& �د���O���ꞤCt�W�~Ca[��=�Q�Y��vV�Z��x�aS��`��z@^�I�-P,�5}�[J�ϛ�"�D���N�{��ks��؁�g�sǬZ���`.K����7���1q�UV�*3���4�ݭ�QU�+�d駺���f%z��8�V9ߵ�D�\ �[d���Ԙ�#t[I���D,�TkU�#��?�s�ф�#P��.��|.ϱ���)qX���� �y�Ȇ�Ϝur�F/�...

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Cornelia C. Walther, a visiting scholar at Wharton and director of global alliance POZE. A humanitarian practitioner who spent over 20 years at the United Nations, Walther’s current research focuses on leveraging AI for social good. Imagine a neurosurgeon who faces a complex, high-risk brain surgery. Despite years of experience, the case presents unpredictable variables. Instead of relying solely on intuition, she turns to an AI-powered surgical assistant, which analyzes millions of similar cases in seconds, predicting complications and suggesting the most precise approach.

As she operates, her expertise guides the procedure while the AI continuously adjusts recommendations in real time based on the patient’s vitals. When an unexpected complication arises, the AI flags an anomaly milliseconds before human detection, allowing the surgeon to act instantly and save the patient’s life. The AI extended the human’s capabilities without replacing her judgment. This is hybrid intelligence (HI) in action — natural and artificial intelligence working together, amplifying strengths, compensating for weaknesses, and achieving what neither could alone. By understanding and harnessing HI, organizations can move beyond incremental efficiency gains to unlock strategic, sustainable outcomes that future-proof the enterprise while improving the well-being of the people involved. In the following sections, I explain how the multidimensional set-up of natural intelligence intertwines with AI to create HI, and provide a practical framework to help organizations leverage these ideas systematically and cost-effectively.

Let’s start with a quick overview of the primary forms of intelligence referenced in this article: This chapter offers a comprehensive overview of hybrid intelligence, through which humans collaborate with artificial intelligence (AI) systems to enhance human and AI capabilities while ensuring that human values, needs, and authority remain central. In line with the principles of Human-Centered AI (HCAI), hybrid intelligence leverages the complementary strengths of humans and AI to create systems that augment, rather than replace, human decision-making and creativity. The chapter discusses how hybrid intelligence prioritizes human oversight, controllability, authority, and ethical considerations, ensuring that AI serves to enhance human well-being and aligns with societal values. It also addresses recent technological advancements, including foundation models, which have highlighted the importance of hybrid intelligence in fields such as healthcare, decision support, and innovation. Alongside these developments, the chapter emphasizes critical ethical and social challenges, such as fairness, accountability, trust, and privacy, within an HCAI framework.

The chapter concludes by highlighting future research directions that integrate technical, social, and ethical perspectives to create sustainable, human-centered hybrid intelligence systems that prioritize human agency oversight as well as ethical design. This is a preview of subscription content, log in via an institution to check access. Abhivardhan. (2025). Data Governance. In W.

Xu (Ed.), Handbook of Human-Centered Artificial Intelligence (pp. 1–61). Springer. Allen, R. T., & Choudhury, P. (2022).

Algorithm-augmented work and domain experience: The countervailing forces of ability and aversion. Organization Science, 33(1), 149–169. https://doi.org/10.1287/orsc.2021.1554 Almatrafi, O., Johri, A., & Lee, H. (2024). A systematic review of AI Literacy conceptualization, constructs, and implementation and assessment efforts (2019–2023).

Computers and Education Open, 6, 100173. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. At the recent AIBC Sigma event, Dr. Angelo Dalli, a distinguished AI thought leader and the scientific director of CSAI, presented an eye-opening keynote on the transformative future of artificial intelligence. His talk highlighted “Hybrid Intelligence,” a game-changing approach where AI moves from mere automation to becoming an essential partner in human decision-making.

Dr. Dalli’s insights emphasize that AI’s next frontier isn’t about replacing human intuition but enhancing it to achieve high-impact results. In this article, we’ll explore the principles of Hybrid Intelligence, its benefits in real-world applications, and its potential to reshape industries from finance to online gaming. Hybrid Intelligence represents a major evolution in applied AI, taking it beyond traditional data processing and automation. Unlike conventional AI, which primarily crunches numbers and identifies patterns, Hybrid Intelligence involves AI systems that can reason, adapt, and collaborate with human intuition. This new form of AI isn’t just an advanced tool but a strategic partner that aligns with human decision-making processes.

By uniting machine accuracy with human insight, Hybrid Intelligence in AI redefines how technology integrates into complex, real-world environments. In Dr. Dalli’s words, it’s about “amplifying human potential” through an AI system that understands context, builds transparency, and aligns with ethical standards. Applied AI: Real-World Context and Relevance

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