The field of artificial intelligence is moving towards a more nuanced understanding of human values and preferences, with a focus on developing frameworks that can accommodate diverse cultural and moral contexts. Recent research has highlighted the importance of contextualizing AI decision making, taking into account the complexities of human cognition and the need for more transparent and explainable models. Noteworthy papers in this regard include 'Cognitive Dissonance Artificial Intelligence (CD-AI): The Mind at War with Itself', which introduces a novel framework for sustaining uncertainty and promoting dialectical engagement, and 'ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making', which proposes a system for dynamic personalization of LLM-based decision makers through prompt-based alignment to a set of fine-grained attributes.
Advances in AI-Driven Decision Making and Cognitive Frameworks
Sources
Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial
Cognitive Dissonance Artificial Intelligence (CD-AI): The Mind at War with Itself. Harnessing Discomfort to Sharpen Critical Thinking
ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making