December 2019: Vancouver, Canada
Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness and Privacy
J.P. Morgan served as a platinum sponsor for the Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019 conference held in Vancouver, Canada. NeurIPS has established itself as one of the leading AI conferences in the world, with a record 13,000 attendees this year. To mark its growing interest in technology investment, AI and machine learning, J.P. Morgan sent nearly 50 employees to the conference with representation from all lines of business and three continents.
This year, the firm also hosted its first industry-focused EXPO workshop in partnership with Two Sigma and Hudson River Trading, which garnered over 450 attendees, filling every available seat in the room. In total, 14 research papers authored by JPMC employees were accepted to the workshop. With the growing interest and strong attendance in finance workshops, Tucker Balch and Manuela Veloso from the AI Research team are helping to organize the first international AI in Finance (ICAIF) conference in partnership with the Association for Computing Machinery (ACM), which will be held in New York City on October 15-16 in 2020.
December 2018: Montreal, Canada
Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy
With nearly 9,000 attendees, NeurIPS is one of the most prominent and longest-running machine learning and artificial intelligence conferences in the world, bringing together academics and tech giants like Google to share cutting-edge research.
For the first time since its inception 32 years ago, the conference hosted a workshop on AI in financial services. This workshop was jointly organized by J.P. Morgan and Capital One, with invited speakers from Georgia Tech, University of Michigan, Cornell, S&P Global.
J.P. Morgan’s head of AI Research Manuela Veloso and head of CIB Data Analytics, Applied AI & ML Samik Chandarana spoke at the workshop, which addressed key challenges to the adoption of AI in the financial system:
- Ethical and regulatory needs to prove that models are fair and unbiased
- Requirements around explainability and interpretability of models
- Operating standards which require nothing short of perfect accuracy for certain use cases
- Privacy issues around collection and use of consumer and proprietary data
In addition to the workshop, Veloso and Chandarana, joined by other J.P. Morgan employees, held “lightning talks” at the J.P. Morgan booth attracting hundreds of candidates and hosted a reception attracting leading AI researchers from industry and academia.