What Research on AI Reveals What Research on AI Reveals
Business strategy, creativity, decision-making, education, finance, HR, marketing, law, accounting, communication: discover multidisciplinary perspectives on the emerging challenges and opportunities raised by AI.
Since the release of ChatGPT for public use in November 2022, everyone has been talking about generative AI and projecting its implications for work, the economy, well-being, or the existential risk these models pose to humanity.
Research offers a different angle, allowing us to take a step back from the news while shedding light on current debates. It produces new knowledge based on scientific research methodologies to find answers to questions that are relevant for companies and society at large.
On this page, you will discover some of the most impactful research projects carried out by our faculty within the Hi! PARIS center.
Meet Hi! PARIS Chair holders exploring the different fields of application of AI
Mathew Yeaton on AI & Social Networks
Aluna Wang on AI & Accounting
Klaus Miller on AI & Marketing
Julien Grand-Clément on AI & Healthcare
Pablo Baquero on AI & Law
MAKE AI YOUR ALLY
Read Knowledge@HEC Special Issue with 12 research insights from HEC Paris Faculty
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The Impact of ChatGPT on Education
Our professors comment on their new research findings for the international press.
"One of the skills of the future, that we will need to learn to teach today, is how to ensure chatbots actually help."
A recent academic paper published by Brian Hill, professor of economics and decision sciences at HEC Paris, suggested professionals may perform poorly in future when using AI for assistance if they do not gain a better understanding of the technology.
Using Artificial Intelligence At Business School Can Harm Your Performance, Study Suggests
BusinessBecause, July 12, 2023
" If AI tools become as ubiquitous as many predict, the human role will be to evaluate and correct the output of an AI — precisely as asked of students in this task. "
HEC Paris professor Brian Hill has written an academic paper based on a study he conducted in a first-year master’s-level class in behavioral economics. The study reveals a reduction in performance when students use AI chatbots to help with their assignments — and suggests that without a better understanding of the tech involved, the professionals of tomorrow may do a significantly worse job when aided by AI than they do working without it.
AI May Harm More Than Help B-School Students, Study Shows
Poets & Quants, July 5,2023
“We put the bot to a different test: whether these bots are better or worse than students at cognitive reflection. Cognitive reflection is the ability to stop and think before you give a knee-jerk answer to a seemingly simple question that has a seemingly obvious — but incorrect — answer.”
Is ChatGPT better or worse than students at cognitive reflection? Economy professor at HEC Paris Business School Thomas Astebro details the results of his research in an op-ed for Poets & Quants.
ChatGPT Will Change The MBA Job Recruitment Game. Here’s How
Poets & Quants, July 5,2023
Empowering society with data and AI
Hi! PARIS white book 2022 describes some of the emblematic research projects carried out by the 9 Hi! PARIS chair holders, and the 5 fellowship holders supported by the Center.
This document thus shines a spotlight on specific research topics that all represent major challenges for the future and that hold great promise.
Discover this new knowledge and ideas for further collaboration
Hi! PARIS is an interdisciplinary center for Data Analytics and Artificial Intelligence for Science, Business and Society created by Institut Polytechnique de Paris (IP Paris) and HEC Paris and recently joined by Inria Saclay.
Hi! PARIS conducts frontier multidisciplinary research from fundamental problems on methods for AI and data analytics to business applications across all sectors and covering implications for society
Decision-making in the age of AI
Algorithmic decision-makers have both economic and societal impacts
"While algorithmic recommenders (for exemple on Amazon or Netflix) are used to assist humans in their judgment-making and decision-making, the more recent advances in artificial intelligence and machine learning technologies aim to enable automated algorithm-based decision-making on behalf of humans (so called algorithmic decision-makers), with vivid examples of algorithmic trading systems."
Xitong Li is an Associate Professor of Information Systems at HEC Paris and Hi! PARIS fellows. His primary research interests are the economics of information technologies, including social media, crowdfunding, digital marketing, online education, and AI.
Learn more on the research project p12
Culture, language, and networks in social communities
" Using these digital records to observe the structure of social relations and the language used to communicate can help deepen our theory of knowledge transfer for a wide range of organizations, not just those that operate in the digital sphere."
Matthew Yeaton is an Assistant Professor at HEC Paris and Hi! PARIS Chair holder, focused on topics at the nexus of organizational culture and social network structure.
Learn more on the research project p 36
Practicing inclusiveness through innovation law
"Computational methods to generate relevant information about lawyers’ performances in the courtroom are increasingly being used in practice. They are believed to overcome some of the flaws presented by these traditional methods (such as the use of anecdotal evidence, the existence of a selection bias, and the lack of transparency). Currently, however, their use presents two important shortcomings."
Pablo Baquero is Assistant Professor at HEC Paris, member of the Smart Law Hub and Hi! PARIS Chair holder. He conducts research with a group of legal scholars and data scientists on artificial intelligence and legal issues concerning ethical innovation.
Learn more on the research project p22
Privacy a social demand and a market differentiator
Using smart contracts to ensure compliance with data protection laws in contractual supply chains
"When deciding on user tracking, policymakers need to make a careful trade-off between firms’ interest in making profits, e.g., creating jobs or valuable content, and users’ interest in protecting their privacy."
Klaus Miller is Assistant Professor of Marketing at HEC Paris and Hi! PARIS Chair holder. His research interests are at the interface between empirical quantitative marketing, management economics, and information systems.
Learn more on the research project p24
Data-driven, interpretable policies for resource allocation in environments of scarcity
"We expect these triage algorithms to improve upon current practices and official guidelines, which were designed by experts and policymakers but were not informed by the data. Our direct collaborations with hospital practitioners help us develop actionable and implementable guidelines."
Julien Grand-Clément is Assistant Professor in the Information Systems and Operations Management Department and Hi! PARIS Chair holder. He conducts research on medical decisions automation using machine learning and optimization.
Learn more on the research project p31
Exploiting graph representation and the network structure of accounting data
"To tackle crucial challenges in accounting and auditing tasks, like money laundering or anomaly detection, we propose a flexible system called AutoAudit, which can be valuable to auditors and risk management professionals. For exemple it can spots nearly 100% of injected money laundering transactions automatically in real-world datasets."
Aluna Wang is an assistant Professor of Accounting and Management Control at HEC Paris and Hi! PARIS Chair holder. Her research endeavors feature two major themes. One theme is to examine how information transmission mechanisms in the financial market, such as public disclosures and lending relationships
Learn more on the research project p34