Preprint
Exploring Cognitive Attributes in Financial Decision-Making
10 Apr 2025
Abstract
Cognitive attributes are fundamental to metacognition, shaping how
individuals process information, evaluate choices, and make decisions. To
develop metacognitive artificial intelligence (AI) models that reflect human
reasoning, it is essential to account for the attributes that influence
reasoning patterns and decision-maker behavior, often leading to different or
even conflicting choices. This makes it crucial to incorporate cognitive
attributes in designing AI models that align with human decision-making
processes, especially in high-stakes domains such as finance, where decisions
have significant real-world consequences. However, existing AI alignment
research has primarily focused on value alignment, often overlooking the role
of individual cognitive attributes that distinguish decision-makers. To address
this issue, this paper (1) analyzes the literature on cognitive attributes, (2)
establishes five criteria for defining them, and (3) categorizes 19
domain-specific cognitive attributes relevant to financial decision-making.
These three components provide a strong basis for developing AI systems that
accurately reflect and align with human decision-making processes in financial
contexts.
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Details
- Title
- Exploring Cognitive Attributes in Financial Decision-Making
- Creators
- Mallika MainaliRosina O Weber
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science; College of Computing and Informatics
- Other Identifier
- 991022048372204721