Following a successful inaugural conference on AI in Finance in 2024, we are excited to host our next AI in Finance conference on June 10, 2025 at the University of Maryland's Smith School of Business. 

Artificial intelligence (AI) techniques have rapidly developed alongside a sharp rise in commercial investments in these technologies. Perhaps the most visible recent manifestation of this has been the rapid development and deployment of large language models (LLMs).

AI investments have already begun to transform financial services, and there are enormous economic and financial opportunities in this transformation. There is also an increasing discussion of the potential risks that these technologies could pose to financial and economic stability, including much recent discussion on existential risk and the risk of widening existing societal disparities. 

We invite the submission of empirical, theoretical, or experimental papers that study the opportunities and risks of AI technologies in Finance. Our goal is to deepen understanding of how AI is being used or might be used by firms (across all sectors), different types of investors, households, and other market participants, as well as to study the broader societal and regulatory implications of the rapid deployment of these technologies. To be considered, submitted papers must be explicitly about the use or potential use of AI technologies by market participants, broadly construed. We encourage the submission of research papers on the following and related topics:

-          Uses of AI by firms in corporate finance and their implications for corporate policies:  capital allocation, innovation, product and/or service development, risk management, financial management, forecasting,  production processes, marketing and sales, supply-chain management.

-         AI use in trading and asset management: Use by different market participants (e.g., by hedge funds, mutual funds, PE/VC), and different asset classes, and their implications for market equilibrium.

-          AI use by banks and other credit providers: credit, wealth management, fraud detection, customer targeting, trading, risk management and hedging.

-          AI use in other financial forecasting: by management, analysts, market participants, financial market regulators, or other market participants.

-          AI use for understanding consumer financial behavior and decision-making: marketing in retail financial services, modelling complex consumer decisions, and the (good and bad) implications of the use of such technologies in these settings.

-          AI and labor replacement vs. augmentation: studies of settings and occupations where AI tools have been significantly deployed for labor augmentation/replacement specifically for applications in finance as well as the impacts of such shifts on firms’ operations and performance.

-          Financial market and macroeconomic implications of AI use by industry participants: implications for prices, volumes, market volatility, crashes, market design, growth, risks, competitive dynamics, entry and exit of market participants.

-          AI, financial stability, and disparities:  studies of the potential risks to financial stability posed by AI use by market participants, model instability and model risks, biases, discrimination, and disparities.

-        Frictions and market failures in AI adoption/use and regulatory solutions.

The paper submission deadline is February 1, 2025. PhD students are welcome to submit. Early-stage work is encouraged.  Please submit your papers on `Paper Submission' page. Paper submission fee is $75 (USD). Paper selection will be finalized in March of 2025. If you have questions, please email Tania.Babina@gmail.com.

Program Chairs

Tania Babina

(University of Maryland)

Ansgar Walther

(Imperial College)