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Human-Centered Responsible Artificial Intelligence: Current & Future Trends
In recent years, the CHI community has seen significant growth in research on Human-
Centered Responsible Artificial Intelligence. While different research communities may use …
Centered Responsible Artificial Intelligence. While different research communities may use …
[HTML][HTML] Responsible artificial intelligence governance: A review and research framework
The widespread and rapid diffusion of artificial intelligence (AI) into all types of
organizational activities necessitates the ethical and responsible deployment of these …
organizational activities necessitates the ethical and responsible deployment of these …
Redefining qualitative analysis in the AI era: Utilizing ChatGPT for efficient thematic analysis
AI tools, particularly large-scale language model (LLM) based applications such as
ChatGPT, have the potential to simplify qualitative research. Through semi-structured …
ChatGPT, have the potential to simplify qualitative research. Through semi-structured …
Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
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 …
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 …
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 …
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
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 …
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
Investigating and designing for trust in AI-powered code generation tools
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 …
complex tasks such as software engineering. However, we have a limited understanding of …
Impact of model interpretability and outcome feedback on trust in ai
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 …
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
The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …
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
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 …
role in public policy, research and industry. In this context, Human-AI Trust has often been …