Join us to hear from Seth Lloyd, Professor of Mechanical Engineering and Physics at MIT, as he shares his findings on quantum algorithms for analyzing financial data and predicting time series
Join our panel of experts who will share their technological, legal and social expertise to answer the questions raised by the real-world performance of risk assessment instruments.
A large body of social science evidence indicates that objective, reliable and valid risk assessment instruments are more accurate in evaluating risk than professional human judgements alone. In the world of pretrial detention, where more than 10 million people are jailed each year in the United States after arrest, pretrial risk assessment tools may provide a more efficient, transparent and fairer basis for making assessments than having a judge quickly scan documents detailing the defendant’s prior record and current charges and make a decision in mere minutes. However, these assessments will retain any bias present in the data used by criminal justice agencies.
Corporate executives have begun to glimpse the strategic value of incorporating artificial intelligence as an “employee” within their organization. In this Kenan Insight, we explore a framework that outlines the critical elements for harnessing the potential of human-AI working relationships.
The Kenan Institute of Private Enterprise at the University of North Carolina at Chapel Hill will host a virtual conference on machine learning in finance on March 5, 2021. The conference is co-sponsored by the Journal of Financial Econometrics (JFEC) and the International Center for Finance (ICF) at Yale University.
Emerging artificial intelligence (AI) capabilities are ushering in significant changes in how enterprises operate – and raising a host of questions for organizations. In this Kenan Insight, we explore how changing the organizational mindset to treat AI as an “employee” may pave the way to fully reaping the benefits of AI systems.
Faculty Director of the Rethinc. FinTech Lab, Eric Ghysels was featured as the keynote speaker at the 2nd Crypto Asset Lab Conference. The conference, which took place on Tuesday, October 27th, focuses on all aspects of bitcoin and crypto assets, especially those pertaining to investment, banking, finance, monetary economics, and regulation. Topics included cryptocurrency adoption and transition dynamics, digital cash and payment systems, economics and/or game theoretic analysis of cryptocurrency protocols, economic and monetary aspects of cryptocurrencies and the legal, ethical and societal aspects of (decentralized) cryptocurrencies.
The list of stores that have closed or gone bankrupt in 2020 reads like a “who’s who” of venerable retail giants. Although retailing has been experiencing tectonic shifts for several years, the COVID-19 pandemic has accelerated both challenges and opportunities. In this Kenan Insight, we explore four major trends in retail, with a particular focus on food retailing.
Join our panel of industry and academic leaders, who will share their technological, legal, organizational and social expertise to answer the questions raised by emerging artificial intelligence capabilities.
Time series regression analysis in econometrics typically involves a framework relying on a set of mixing conditions to establish consistency and asymptotic normality of parameter estimates and HAC-type estimators of the residual long-run variances to conduct proper inference. This article introduces structured machine learning regressions for high-dimensional time series data using the aforementioned commonly used setting.
Please join us for and exclusive conversation with Cisco CEO and Chairman, and UNC-Chapel Hill alumnus Chuck Robbins. Chuck is focused on helping companies, cities and countries around the world as they look to Cisco to connect everything and everyone by building the highly secure, intelligent platform for digital business.