Clara Jean has been an assistant professor at Grenoble School of Management since 2021. Her research focuses on the digital economy and examines the economic and social implications of artificial intelligence in decision-making processes, as well as the use of personal data by companies. Employing empirical methods, her research sheds light on the challenges of regulating and governing data and digital tools in a constantly evolving technological environment. In 2019, she received the Marie-Dominique Hagelsteen Prize from the French Advertising Standards Authority (ARPP), recognizing her work on responsible advertising. She has published articles in academic journals on these topics, and her research has been featured in mainstream media outlets such as Le Monde.
Background
Clara Jean holds a Master's degree in Digital Economics from Paris Dauphine University, a postgraduate degree in Engineering and Economics from Aix-Marseille School of Economics (AMSE), and earned her PhD in Economics from Paris-Saclay University in 2021, funded by Epitech.
Expertise
• Artificial Intelligence
• Algorithmic Bias
• Economics of Privacy
• Online Advertising
• In-situ Experimentation
- Algorithmic Bias
- Experimental Design
- Online Advertising
- Business Analytics - Licence - De 2022 à 2023
- IA, Deep Learning & Machine Learning - Master - Depuis 2026
- Digital literacy, data and analysis - Licence - Depuis 2026
- Energy Data Analytics - Master - Depuis 2026
- Machine Learning - Licence - De 2021 à 2023
- Data analytics for human resources - 2021
- Conceive, Implement, and Evaluate an AI Solution - Master - Depuis 2024
- Ethics for Data Marketing - Depuis 2023
- Data et business analytics - Licence - Depuis 2024
- Information Systems - De 2021 à 2024
- Jean C., Bussotti J. F., Cecere . G., Omrani N., Papotti P., 2026.Digital Divide and Artificial Intelligence for HealthTechnovation, 151, March: 103392
- Cecere . G., Jean C., Le Guel F., Manant M., 2024.Artificial Intelligence and Algorithmic Bias? Field Tests on Social Network with TeensTechnological Forecasting and Social Change, 201, April: 123204Artificial intelligence (AI) is a general purpose technology that is used in many sectors. However, automated decision-making powered by AI algorithms can lead to unintended outcomes, especially in the context of online platforms. The lack of transparency related to AI algorithms and their categorization methods make practical insights into effective management of the risks associated to their utilization of crucial importance. We address these issues through two field tests aimed at mitigating biases in online science, technology, engineering, and mathematics (STEM) education-related ads targeting teenagers. We conducted online ad campaigns involving gender-unspecific, women-specific, and gender-neutral ads targeted at young social network users. Our findings show that inclusion in the ad of a gender-oriented message tends to alleviate algorithmic gender bias but also reduced overall ad visibility. Our research shows also that text length has a significant impact on ad visibility, and that gender-oriented messages influence the display of the ad based on gender.
- Jean C., Lefrere V., 2024.Le marché des applications mobiles gratuites, un état des lieuxIn Le droit à la vie privée: L'urgence de l'hygiène numérique. Presses universitaires de Rennes Ed. Rennes: Presses Universitaires de RennesSelon l’intelligence artificielle ChatGPT, « l’hygiène numérique est un ensemble de pratiques et de comportements visant à assurer la sécurité et la protection de vos informations en ligne ainsi que de votre vie privée. Elle inclut des mesures telles que la mise à jour régulière de vos mots de passe, la protection de vos informations personnelles en ligne, le contrôle de la confidentialité de vos données, la sélection de logiciels de sécurité fiables, etc.». Vous cochez toutes les cases ? Ce livre n’est pas pour vous. Dans le cas contraire, jetez-vous dessus ! Car il relève le défi d’une analyse rigoureuse et pluridisciplinaire visant à sensibiliser un large public, spécialiste ou non, aux différents enjeux liés à une collecte systématisée des données personnelles, ainsi qu’à l’orienter dans sa réflexion pour améliorer l’hygiène numérique. Utiliser ChatGPT : est-ce un manque d’hygiène numérique ?
- Jean C., 2023.2ème Atelier doctoral GEM-IREGEPhysique
- Jean C., 2023.Les ambassadricesFondation Mines-Telecom
- Jean C., Lefrere V., 2023.Use of Personal Data for Monetization Purposes: The Case of Mobile ApplicationsJournal of economic issues, 57, 4: 1095-1102In the mobile apps market, most apps can be downloaded for free. This study reviews the economic literature on the three most popular monetization strategies used to generate revenue: advertising, freemium, and personal data. We discuss the part played by personal data in each of these three monetization strategies, and highlight why the lack of knowledge about the ultimate uses of personal data by market stakeholders should be of concern.
- Jean C., 2022.L’IA : un moyen de lutte contre les biais ?Communication of the chairs
- Jean C., Cecere . G., Le Guel F., Manant M., 2022.Can we curb algorithmic bias? An experiment on a social network with teensGiant
- Jean C., 2022.L'IA est-elle sexiste?Teams Live Events
- Jean C., 2022.L’innovation au service de la diversité et de l’inclusionPorsche