How good are students at using tools like ChatGPT? In particular, can they properly evaluate and correct the responses provided by ChatGPT to enhance their performance? An experiment on HEC Paris students set to find out. Its results contribute to the debate on the consequences of the use of ChatGPT in education, and in work in general.
When hospital patients unexpectedly take a turn for the worse and must be transferred to the intensive care unit (ICU), they are more likely to die or must spend a longer time in the hospital. But research by Julien Grand-Clément, Assistant Professor in Information Systems and Operations Management at HEC Paris and chair holder at the Hi! PARIS Center, and colleagues in the U.S. from Columbia University and the Kaiser Permanente Northern California Division of Research, suggests that a mathematical model commonly used in Artificial Intelligence (AI) can help doctors predict patients’ decline and transfer them to the ICU proactively, before their health condition deteriorate critically.
By Julien Grand-Clément
Artificial Intelligence has a potentially disruptive impact on organizations, firms, and society at large. The latest mind-boggling illustration came with the discovery of chatGPT’s mesmerizing results in November 2022. This followed a fall of investments in AI last year in Silicon Valley. From analyzing data in one’s business to increasing customer engagement and replacing humans in routine tasks across industries, AI is becoming more relevant to our lives and economy every day. Everyone talks about it, but do we really understand its opportunities and threats? And how can we make the best out of it, whilst ensuring that ethical requirements are met?
The latest developments in artificial intelligence are often allied to the prospect of a better world, with more powerful, more rational algorithms straightening out human flaws. The idea often floated is that public policy will be more effective because it will be better informed and more responsive. Likewise, it is said that medicine will deliver speedier, more accurate diagnoses. But where are we when it comes to the subject of consumption? Can algorithms be used to steer consumers towards better, more enlightened – and less impulsive – choices? Why not? Online assessments about a product or service, for instance, help information flow more smoothly. But we are also heading down a new path: myriad algorithms are now the power behind “nudges”, those fine details about the shopping environment that insidiously guide the choices made by consumers.
The advent of digital technologies has created a very new and vastly different financial landscape. Today's buying and selling of securities is conducted mostly by computer programs that react within nanoseconds – faster than any human could – to the subtlest market fluctuations. In a new report published by the Centre for Economic Policy Research (CEPR), Professor of Finance Thierry Foucault comes to grips with how technologies are fundamentally changing the way banks, brokers, exchanges, and dealers do their work, and what it means for investors, for privacy and income inequalities.
By Thierry Foucault
Artificial Intelligence adoption by investors might hinder the allocation of capital to breakthrough innovations. Learn more in this interview with Maxime Bonelli, PhD student in Finance at HEC Paris, on his dissertation. Maxime focuses on the real effects of new technologies and human capital in the financial sector, to help us better understand how the industrial organization of the financial sector affects the real economy.
Online shoppers hunting for the perfect product may have pages and pages of search results to scroll through. An algorithm recently developed by a team of professors incorporates customers “click and search” behavior to help online retailers make important decisions about products’ price and ranking and thus potentially boost online sales.
By Sajjad Najafi
Many E-commerce sites such as Amazon, YouTube, and Netflix, but also online advertisers, use recommender systems. Recommender systems are algorithms that, based on data sets, recommend to users contents and products that match their preferences. In this interview, Xitong Li of HEC Paris, Associate Professor of Information Systems and a Hi! PARIS center’s research fellowship holder, reveals new research, a joint work with two German researchers, and explains how recommender systems induce consumers to buy.
By Xitong Li
In the United Kingdom, more than 700 Post Office workers were wrongfully convicted of theft, fraud and false accounting between 2000 and 2014. That was the result of a fault in Horizon, a Fujitsu computer system used by the UK Post Office. How can AI solutions be developed to detect and prevent such intelligent anomalies? To answer these questions and more we have turned to HEC Professor of Accounting and Management Control, Aluna Wang. She is also chairholder at Hi! PARIS Center on Data Analytics and Artificial Intelligence.
