Victor Storchan

Social Sciences · Social Sciences

5h-index70citations16works3.42yr avg
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Research Topics

Ethics and Social Impacts of AI(5), Blockchain Technology Applications and Security(3), Adversarial Robustness in Machine Learning(3), Topic Modeling(2), Complex Systems and Time Series Analysis(2)

Publications16 total

A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety
arXiv (Cornell University)·2025Open Access
Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
arXiv (Cornell University)·2024· 5 citedOpen Access
Predictive artificial intelligence and the technological sovereignty of the EU
SPIRE - Sciences Po Institutional REpository·2024
On the Societal Impact of Open Foundation Models
arXiv (Cornell University)·2024· 11 citedOpen Access
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
SSRN Electronic Journal·2024· 1 citedOpen Access
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
arXiv (Cornell University)·2023Open Access
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
2023· 7 citedOpen Access
On the current and emerging challenges of developing fair and ethical AI solutions in financial services
2021· 4 citedOpen Access
On the Current and Emerging Challenges of Developing Fair and Ethical AI\n Solutions in Financial Services
arXiv (Cornell University)·2021· 22 citedOpen Access
Seven challenges for harmonizing explainability requirements
arXiv (Cornell University)·2021· 2 citedOpen Access
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
arXiv (Cornell University)·2021· 6 citedOpen Access
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
arXiv (Cornell University)·2021· 1 citedOpen Access
Learning who is in the market from time series: market participant\n discovery through adversarial calibration of multi-agent simulators
arXiv (Cornell University)·2021· 3 citedOpen Access
MAS-GAN: Adversarial Calibration of Multi-Agent Market Simulators.
2021· 3 cited
Explainable clustering and application to wealth management compliance
2020· 1 citedOpen Access
Data Augmentation via Adversarial Networks for Optical Character Recognition/Conference Submissions
2019· 4 cited

Frequent Co-authors

Eren Kurshan(4), Jiahao Chen(3), Sayash Kapoor(3), Svitlana Vyetrenko(3), Tucker Balch(3), Hongda Shen(2), Kevin Klyman(2), Kevin Bankston(2), Yacine Jernite(2), Stefano Maffulli(2), Pierre Colombo(2), Victor Pellegrain(2), Myriam Tami(2), Ismail Ben Ayed(2), Pablo Piantanida(2), Jiahao Chen(2), Camille François(2), Ayah Bdeir(2), Nik Marda(2), Rishi Bommasani(1)