Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation

MH Jarrahi, C Lutz, G Newlands - Big Data & Society, 2022 - journals.sagepub.com
There is little consensus on what artificial intelligence (AI) systems may or may not embrace.
Although this may point to multiplicity of interpretations and backgrounds, a lack of …

Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing

F Bocklisch, N Huchler - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
The paper explores and comments on the theoretical concept of human-machine-teaming in
intelligent manufacturing. Industrial production is an important area of work applications and …

Regulating for trust: Can law establish trust in artificial intelligence?

A Tamò‐Larrieux, C Guitton, S Mayer… - Regulation & …, 2024 - Wiley Online Library
The current political and regulatory discourse frequently references the term “trustworthy
artificial intelligence (AI).” In Europe, the attempts to ensure trustworthy AI started already …

" What If It Is Wrong": Effects of Power Dynamics and Trust Repair Strategy on Trust and Compliance in HRI

UB Karli, S Cao, CM Huang - Proceedings of the 2023 ACM/IEEE …, 2023 - dl.acm.org
Robotic systems designed to work alongside people are susceptible to technical and
unexpected errors. Prior work has investigated a variety of strategies aimed at repairing …

Assessing deep learning: a work program for the humanities in the age of artificial intelligence

J Segessenmann, T Stadelmann, A Davison, O Dürr - AI and Ethics, 2023 - Springer
Following the success of deep learning (DL) in research, we are now witnessing the fast and
widespread adoption of artificial intelligence (AI) in daily life, influencing the way we act …

Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool.

E Gedrimiene, I Celik, K Mäkitalo, H Muukkonen - Journal of Learning …, 2023 - ERIC
Transparency and trustworthiness are among the key requirements for the ethical use of
learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and …

After the algorithms: A study of meta-algorithmic judgments and diversity in the hiring process at a large multisite company

M Bursell, L Roumbanis - Big Data & Society, 2024 - journals.sagepub.com
In recent years, both private and public organizations across contexts have begun
implementing AI technologies in their recruitment processes. This transition is typically …

Affordances advancing user-created communication (UCC) in service: interactivity, visibility and anonymity

R Ciuchita, G Medberg, V Penttinen, C Lutz… - Journal of Service …, 2022 - emerald.com
Purpose Digital platform users not only consume but also produce communication related to
their experiences. Although service research has explored users' motivations to …

[HTML][HTML] A Machine's ethos? An inquiry into artificial ethos and trust

HS Sætra - Computers in Human Behavior, 2024 - Elsevier
Every day we trust other individuals as we engage in social interactions in which various
desirable outcomes depend on others acting the way we hope, or they have indicated. Trust …

Impacts of Physical and Informational Failures on Worker–Autonomy Trust in Future Construction

WC Chang, B Esmaeili… - Journal of Construction …, 2025 - ascelibrary.org
Autonomous agents are increasingly becoming construction workers' teammates, making
them an integral part of tomorrow's construction industry. Although many expect that worker …