Artificial Intelligence

Artificial Intelligence

November 02nd, 2022

How AI is Affecting VC Funding of Innovative Startups

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.

Artificial Intelligence

June 15th, 2022

Click, Click, Boom! New Algorithm Set to Boost Revenue for Online Retailers

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

e commerce - vignette

Artificial Intelligence

May 16th, 2022

How Do Algorithmic Recommendations Lead Consumers to Make Online Purchases?

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

HEC Paris Trains Future Professors

Our PhD Students Got Talent

This special issue aims to show the excellence and diversity of the research conducted by HEC Paris PhD candidates and alumni. You will find a selection of cutting-edge findings, answering crucial questions such as: Is AI a threat to human creativity? Should we listen to the Wall Street gurus? How to better manage one’s promotion? How much do we value our private data? What are ambiguity and risk attitudes? How bad is the mere presence of a phone? HEC Paris PhD Program, headed by finance professor Johan Hombert, supports its students throughout their thesis writing and job placement in the best universities and business schools, such as the MIT, Wharton and Harvard Business School. Most PhD alumni continue to collaborate with professors at HEC, thanks to the strong relationships they have developed during their journey.

October 13th, 2021

phd hec paris - knowledge

Artificial Intelligence

October 11th, 2021

5 minutes

Will the Increased Use of AI in Private Equity Cause an Industry Shakeout?

A new study developed by Thomas Åstebro, Professor of Entrepreneurship at HEC Paris, finds that the number of private equity (PE) and venture capital (VC) firms using artificial intelligence has increased dramatically in the past decade. The study claims that while increasing efficiency overall, AI will also change deal-making processes and destroy junior-level jobs. This article summarizes the article, ‘An Inside Peek at AI Use in Private Equity’, published in the Journal of Financial Data Science (Summer 2021, jfds.2021.1.067) with Portfolio Management Research (PMR).

Economics and Decision Sciences

Artificial Intelligence

December 09th, 2020

7 minutes

“A $%^* Sexist Program”: Detecting and Addressing AI Bias

A major issue facing companies that use AI, algorithmic bias can perpetuate social inequalities — as well as pose legal and reputational risks to the companies in question. New research at HEC Paris offers a statistical method of tracking down and eliminating unfairness.

By Christophe Pérignon

facial recognition thumbnail

Artificial Intelligence

December 04th, 2020

8 minutes

How Can We Force Companies To Keep Our Data Safe?

With online shopping, loyalty programs, smart devices and many other aspects of business and daily lives, companies collect vast amounts of our personal data. The risk is that they may be leaked or misused. A team of researchers designs measures that regulators and companies can undertake to preserve consumer privacy.

By Ruslan Momot