The main objectives of the workshop are to delve into how AI is shaping the financial sector's focus on social impact, responding to consumer consciousness and regulatory pressures. This event highlights AI's ethical applications, including the promotion of financial inclusion, facilitation of ESG investing, and the development of privacy-preserving solutions. Engage with industry and academia experts to exchange ideas and share best practices.

Topics for contributed papers should lie at the intersection of AI, Finance, and Social Good. 

Topics include, but are not limited to:

• Generative models and data-driven simulation

• Planning, Search, Constraint-based Reasoning, Optimization, and Reinforcement Learning

• Multi-agent systems and game-theoretic analysis of financial markets

• Transformer models, Self-supervised Learning

• Natural Language Processing, including Large Language Models (LLMs), Speech Analysis and Conversational Dialogue Modeling

• Meta Learning, Federated Learning, Representation Learning, Causal Learning and Transfer Learning 

• Computer vision

• Graph theory and Network Analysis

• Data annotation, acquisition, augmentation, and feature engineering

• Semi-structured data modeling 

• Validation and Calibration of financial models

Potential applications of interest in Finance and Social Good may include but are not limited to:

• Combating Financial Crime including Fraud Detection

• Developing and implementing AI solutions for ESG (environmental, social, and governance) investing

• Data Privacy

• Financial safety and education for vulnerable and/or underrepresented populations

• Large language models for socially responsible finance 

• Decentralized Finance (DeFi) frameworks \& benchmarks

• Bias analysis and mitigation in AI Models for financial decision making

• Explainability and fairness for financial AI \& ML systems

• Responsible AI in finance 

All contributions must be original and unpublished, and should not be under consideration by other conferences or journals. Submissions will undergo a peer review process using a double-blind system. The evaluation criteria include relevance to the workshop, novelty, technical contribution, impact significance, clarity, and reproducibility. To ensure consistency, all submissions must adhere to the AAAI-24 formatting guidelines (https://aaai.org/aaai-conference/submission-instructions/) and utilize the corresponding LaTeX style files. 

Three types of submissions are accepted: 

• full research papers, which should not exceed 8 pages (including references)

• short/poster papers, which should not exceed 4 pages (including references)

• extended abstracts  which should not exceed 2 pages  (including references). These abstracts serve as a platform for initial idea exploration.

The submission process will take place via Microsoft CMT via https://cmt3.research.microsoft.com/AIFinSI2024/Track/1/Submission/Create. If you have any queries regarding the submission process, please contact us at aaai24-aifinsi@googlegroups.com.

Accepted papers require in-person presentation by at least one author. All accepted papers will be published on the workshop website, and authors are encouraged to also share their work on platforms like arXiv or other online repositories.

Submission deadline: Friday, 24th November 2023 (anywhere on earth)

Notification of acceptance/rejection: Monday, 11th December 2023

Notification of acceptance/rejection: Thursday, 14th December 2023

Camera Ready Version: Friday, 22nd December 2023

Confirmation of In-person Attendance: Friday, 22nd December 2023