A roadmap to pluralistic alignment

T Sorensen, J Moore, J Fisher, M Gordon… - arXiv preprint arXiv …, 2024 - arxiv.org
With increased power and prevalence of AI systems, it is ever more critical that AI systems
are designed to serve all, ie, people with diverse values and perspectives. However …

Datatales: Investigating the use of large language models for authoring data-driven articles

N Sultanum, A Srinivasan - 2023 IEEE Visualization and Visual …, 2023 - ieeexplore.ieee.org
Authoring data-driven articles is a complex process requiring authors to not only analyze
data for insights but also craft a cohesive narrative that effectively communicates the …

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 …

AI Should Challenge, Not Obey

A Sarkar - Communications of the ACM, 2024 - dl.acm.org
AI Should Challenge, Not Obey | Communications of the ACM skip to main content ACM Digital
Library home ACM Association for Computing Machinery corporate logo Google, Inc. (search) …

Curiosity in Consumer Behavior: A Systematic Literature Review and Research Agenda

A Strzelecki, M Jaciow, R Wolny - International Journal of …, 2024 - Wiley Online Library
The aim of this study is to conduct a systematic review of the literature on consumer curiosity
and its impact on consumer behavior. The “Scientific Procedures and Rationales for …

The Explanation That Hits Home: The Characteristics of Verbal Explanations That Affect Human Perception in Subjective Decision-Making

S Ferguson, PA Aoyagui, R Rizvi, YH Kim… - Proceedings of the …, 2024 - dl.acm.org
Human-AI collaborative decision-making can achieve better outcomes than either party
individually. The success of this collaboration can depend on whether the human decision …

Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making

S Ma, C Zhang, X Wang, X Ma, M Yin - arXiv preprint arXiv:2403.01791, 2024 - arxiv.org
Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically
as a Recommender, providing recommendations that the AI deems correct. However, recent …

“Hey Genie, You Got Me Thinking about My Menu Choices!” Impact of Proactive Feedback on User Perception and Reflection in Decision-making Tasks

M Dubiel, LA Leiva, K Bongard-Blanchy… - ACM Transactions on …, 2024 - dl.acm.org
Conversational agents (CAs) that deliver proactive interventions can benefit users by
reducing their cognitive workload and improving performance. However, little is known …

Framework for human–XAI symbiosis: extended self from the dual-process theory perspective

Y Litvinova, P Mikalef, X Luo - Journal of Business Analytics, 2024 - Taylor & Francis
The use of artificial intelligence (AI)-based decision support systems (DSSs) is expected to
enable superior human–XAI performance. To enhance decision-making performance …

Towards human-ai deliberation: Design and evaluation of llm-empowered deliberative ai for ai-assisted decision-making

S Ma, Q Chen, X Wang, C Zheng, Z Peng… - arXiv preprint arXiv …, 2024 - arxiv.org
In AI-assisted decision-making, humans often passively review AI's suggestion and decide
whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely …