The advent of artificial intelligence (AI) tools necessitates the development of human skills that allow workers to use these new technologies to create value that AI tools cannot on their own.
This paper explores the ups and downs of innovation and productivity growth in the US economy and potential connections to the ups and downs of business dynamism and entrepreneurship over the last few decades.
UNC Professor Mohammad Jarrahi and IBM’s Phaedra Boinodiris address concerns about organizational adoption of artificial intelligence and how to include employees in important discussions, such as ethical considerations and potential job-related changes.
Mohammad Hossein Jarrahi of the UNC School of Information and Library Science explores the competitive and cooperative skills that organizations will seek in both their employees and their artificial intelligence systems for Harvard Business Review.
ChatGPT and other generative AI programs can replicate much of the work performed across the knowledge worker class. This gives us a glimpse of what ever-more-powerful AI tools might be able to do, which is both exciting and, to say the least, unsettling.
Faced with demand uncertainty and heterogeneity in a nascent industry, entrants often consider how many customer segments to serve by tailoring the usage breadth of their product portfolios. Portfolio usage breadth is the extent to which products in a portfolio collectively span distinct customer segments. We suggest that when entrants have use experience in contexts that are potential users of the new product, their portfolios exhibit low usage breadth, due to demand-oriented cognition and knowledge.
The workshop explores research on the processes of emergence in order to advance our understanding of innovation and the dynamics of change.
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
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.
We study the impact of widespread adoption of work-at-home technology using an equilibrium model where people choose where to live, how to allocate their time between working at home and at the office, and how much space to use in production. A key parameter is the elasticity of substitution between working at home and in the office that we estimate using cross-sectional time-use data.
The patent system grants inventors temporary monopoly rights in exchange for a public disclosure detailing their innovation. These disclosures are meant to allow others to recreate and build on the patented innovation. We examine how the quality of these disclosures affects follow-on innovation.