Human-Centered Responsible Artificial Intelligence: Current & Future Trends

M Tahaei, M Constantinides, D Quercia… - Extended Abstracts of …, 2023 - dl.acm.org
In recent years, the CHI community has seen significant growth in research on Human-
Centered Responsible Artificial Intelligence. While different research communities may use …

[HTML][HTML] Responsible artificial intelligence governance: A review and research framework

E Papagiannidis, P Mikalef, K Conboy - The Journal of Strategic Information …, 2025 - Elsevier
The widespread and rapid diffusion of artificial intelligence (AI) into all types of
organizational activities necessitates the ethical and responsible deployment of these …

Redefining qualitative analysis in the AI era: Utilizing ChatGPT for efficient thematic analysis

H Zhang, C Wu, J **e, Y Lyu, J Cai… - arxiv preprint arxiv …, 2023 - arxiv.org
AI tools, particularly large-scale language model (LLM) based applications such as
ChatGPT, have the potential to simplify qualitative research. Through semi-structured …

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate

CW Chiang, Z Lu, Z Li, M Yin - … of the 29th International Conference on …, 2024 - dl.acm.org
Group decision making plays a crucial role in our complex and interconnected world. The
rise of AI technologies has the potential to provide data-driven insights to facilitate group …

Are two heads better than one in ai-assisted decision making? comparing the behavior and performance of groups and individuals in human-ai collaborative …

CW Chiang, Z Lu, Z Li, M Yin - Proceedings of the 2023 CHI Conference …, 2023 - dl.acm.org
With the prevalence of AI assistance in decision making, a more relevant question to ask
than the classical question of “are two heads better than one?''is how groups' behavior and …

Measuring and understanding trust calibrations for automated systems: A survey of the state-of-the-art and future directions

M Wischnewski, N Krämer, E Müller - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …

Investigating and designing for trust in AI-powered code generation tools

R Wang, R Cheng, D Ford, T Zimmermann - Proceedings of the 2024 …, 2024 - dl.acm.org
Trust is a crucial factor for the adoption and responsible usage of generative AI tools in
complex tasks such as software engineering. However, we have a limited understanding of …

Impact of model interpretability and outcome feedback on trust in ai

D Ahn, A Almaatouq, M Gulabani… - Proceedings of the 2024 …, 2024 - dl.acm.org
This paper bridges the gap in Human-Computer Interaction (HCI) research by comparatively
assessing the effects of interpretability and outcome feedback on user trust and collaborative …

[HTML][HTML] The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT

N Van Berkel, Z Sarsenbayeva, J Goncalves - International Journal of …, 2023 - Elsevier
The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …

Trust in AI-assisted decision making: Perspectives from those behind the system and those for whom the decision is made

O Vereschak, F Alizadeh, G Bailly… - Proceedings of the 2024 …, 2024 - dl.acm.org
Trust between humans and AI in the context of decision-making has acquired an important
role in public policy, research and industry. In this context, Human-AI Trust has often been …