A roadmap to pluralistic alignment
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 …
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 …
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
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 …
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) …
Library home ACM Association for Computing Machinery corporate logo Google, Inc. (search) …
Curiosity in Consumer Behavior: A Systematic Literature Review and Research Agenda
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 …
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
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 …
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
Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically
as a Recommender, providing recommendations that the AI deems correct. However, recent …
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
Conversational agents (CAs) that deliver proactive interventions can benefit users by
reducing their cognitive workload and improving performance. However, little is known …
reducing their cognitive workload and improving performance. However, little is known …
Framework for human–XAI symbiosis: extended self from the dual-process theory perspective
The use of artificial intelligence (AI)-based decision support systems (DSSs) is expected to
enable superior human–XAI performance. To enhance decision-making performance …
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
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 …
whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely …