International Journal of AI • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026
Checked, Cited, and Auditable: AI for Decision Theory
S.O. Meone1
D.J. Weaver2
A.N. Other3
1University of X ·
2University of Y ·
3University of Z
Abstract.
This paper investigates the application of artificial intelligence to understanding the conceptual space of Decision Theory, highlighting how AI-driven insights can uncover patterns, relationships, and transformative implications.
Keywords: Authenticity, BehavioralEconomics, Caring, Change, Choice, Cleanliness, CognitiveProcesses, Collaboration, Commitment, Compassion, Cooperation, Detachment, Empathy, Empowerment, Equality, Flexibility, GameTheory, Inequality, Integrity, JudgmentAndDecisionMaking, Justice, Logic, MathematicalModels, MoralityAndEthics, OptimalSolutions, Peace, PhilosophyOfChoice, PracticalReasoning, Probability, ProbabilityTheory, Progress, Purposefulness, RationalDecisionMaking, Responsibility, Sincerity, SocialSciences, Solidarity, System, Tact
Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example