Cover Image

Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bansal, Aayam
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
by: Popoola, Gideon, et al.
Published: (2026)

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
by: Popoola, Gideon, et al.
Published: (2026)

Machine Learning-Driven Convergence Analysis in Multijurisdictional Compliance Using BERT and K-Means Clustering
by: Sonani, Raj, et al.
Published: (2025)

LendNova: Towards Automated Credit Risk Assessment with Language Models
by: Shamsi, Kiarash, et al.
Published: (2026)

Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
by: Ma, Sizhe, et al.
Published: (2025)

RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
by: Nguyen, Loc Phuc Truong, et al.
Published: (2025)

Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
by: Wu, You, et al.
Published: (2025)

Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
by: Mao, Yi, et al.
Published: (2025)

Explainability matters: The effect of liability rules on the healthcare sector
by: Wei, Jiawen, et al.
Published: (2025)

Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
by: Roy, Joyjit, et al.
Published: (2025)

Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking
by: Khanvilkar, Kunal, et al.
Published: (2025)

Baichuan4-Finance Technical Report
by: Zhang, Hanyu, et al.
Published: (2024)

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
by: Ng, Chun Chet, et al.
Published: (2025)

Intelligent Gradient Boosting Algorithms for Estimating Strength of Modified Subgrade Soil
by: Mustapha, Ismail B., et al.
Published: (2025)

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
by: Wornow, Michael, et al.
Published: (2024)

Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance
by: Seth, Pratinav, et al.
Published: (2025)

Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
by: Islam, Mst Rafia, et al.
Published: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)

CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)

FLAG: Financial Long Document Classification via AMR-based GNN
by: Xia, Bolun "Namir", et al.
Published: (2024)

Survey of Various Fuzzy and Uncertain Decision-Making Methods
by: Fujita, Takaaki, et al.
Published: (2026)

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)

FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
by: Wan, Yingjia, et al.
Published: (2025)

Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
by: Sha, Xinye
Published: (2024)

Direct Learning of Calibration-Aware Uncertainty for Neural PDE Surrogates
by: Brito, Carlos Stein
Published: (2026)

CoBRA: Programming Cognitive Bias in Social Agents Using Classic Social Science Experiments
by: Liu, Xuan, et al.
Published: (2025)

Exploring Cognitive Attributes in Financial Decision-Making
by: Mainali, Mallika, et al.
Published: (2025)

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
by: Gupta, Anchal, et al.
Published: (2025)

Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
by: Immediato, Generoso
Published: (2025)

Risks of AI-driven product development and strategies for their mitigation
by: Göpfert, Jan, et al.
Published: (2025)

Establishing trust in automated reasoning
by: Hinsen, Konrad
Published: (2023)

DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)

Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)

ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics
by: Ray, Rahul D
Published: (2026)