Call for Papers: 3rd ACM ICAIF Workshop on Explainable AI in Finance
saumitra mishra
Areas of Interest include (but are not limited to)
Novel developments for existing XAI techniques, including: global methods such as intrinsically interpretable models or surrogate modelling; local methods such as counterfactual explanations, feature attribution and argumentation; information-theoretic methods; and qualitative and quantitative metrics for explanation quality.
Practical deployment of XAI within financial domains: best practices and lessons learned.
Novel research at the intersection of XAI and other desiderata of trustworthy AI/ML (e.g., fairness, robustness, and privacy).
Review papers highlighting important challenges and open problems within XAI for Finance.
User studies of consumer response to XAI techniques and AI model outputs.
Novel datasets for use within the XAI in Finance community.
Discussion on industry areas that are less automated and how best to leverage XAI moving forward.
Quantitative approaches to financial regulation description and enforcement.
Explainability Challenges posed by Large Language Models/Foundation Models.
Important Dates
Submission deadline: 6th October 2023, 23:59 (anywhere on earth)
Author notification: 27th October 2023
Workshop: 27th November 2023
Submission Guidelines
We invite submissions on EasyChair of short papers (4 pages) and long papers (8 pages). There is no limit on the number of pages for references and acknowledgments.
Papers must be formatted according to ACM’s sigconf layout (see here for instructions). Papers must be submitted in pdf format on EasyChair and do not need to be anonymous.
Each paper will get at least two reviews.
The workshop will be non-archival in format, but we are intending to share the accepted papers on the workshop web page.
Organisation
The workshop is co-located with the 4th ACM International Conference on AI in Finance (ICAIF) in New York City.
Workshop Co-chairs
Sanghamitra Dutta, PhD, Assistant Professor in Electrical and Computer Engineering at University of Maryland College Park USA
Andreas Joseph, PhD, Senior Research Economist, Advanced Analytics Division, Bank of England, and Research Fellow at the Data Analytics for Finance and Macro (DAFM) Research Centre at King’s College London
Jundong Li, PhD, Assistant Professor in Electrical and Computer Engineering at University of Virginia USA
Saumitra Mishra, PhD, Vice President/AI Research Lead at J.P. Morgan. Member of XAI Center of Excellence at J.P. Morgan.
Francesca Toni, PhD, Professor in Computational Logic at the Department of Computing, Imperial College London and Royal Academy of Engineering / J.P. Morgan Research Chair in Argumentation-based Interactive Explainable AI
Adrian Weller, PhD, Director of Research in Machine Learning at the University of Cambridge and Head of Safe and Ethical AI at The Alan Turing Institute
Assistant chairs
Allan Anzagira, PhD, Senior Research Associate, JP Morgan, New York
Fabrizio Russo, PhD Candidate, Imperial College London