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![Research Centre on AI for Sustainable Value: new series of events Research Centre on AI for Sustainable Value: new series of events](/sites/default/files/styles/wide/public/actus/images/margheritapagani_0.jpg?itok=zEOW70HM)
The SKEMA Centre for Artificial Intelligence aims to:
- Investigate and guide the economic, societal, and ethical value generated by Human Centric AI systems for business.
- Develop and improve AI techniques and algorithms with a view to solving specific business problems, but with wide-ranging applicability.
The research centre adopts a interdisciplinary perspective based on the collaboration between social scientists, AI researchers, and engineers to develop the know-how to explore business opportunities driven by AI.
SKEMA Centre for Artificial Intelligence has signed a partnership agreement with the Berkeley APEC Study Centre (BASC) at the University of California Berkeley to explore the impact of AI on business, society and regulations.
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Research Themes
We explore how AI Systems interact and collaborate with people to enhance human abilities and empower both individual and society creating sustainable value at four different levels:
- Business value: how AI becomes part of the products themselves, improves performance across the value chain, or enables ecosystems and collaboration with new markets.
- Ethical value: how to foster explicability and responsible AI to guarantee social fairness in respect of human freedoms and dignity.
- Societal value: how AI contributes to environmental sustainability, encourages a new social contract based on accountability.
- Algorithmic value: developing AI techniques and algorithms with increasingly superior performance while attending to the explainability of such techniques to assure that the other kinds of value can be enabled.
Through this Research Centre, we want to analyse the impact of Artificial Intelligence on a broad range of business and management subjects (ranging from finance, marketing, strategy, to innovation and entrepreneurship) and cover a multitude of different sectors (such as education, energy, health care, public administration, banks, insurance, retail, tourism, and luxury) offering guidance to organisations on how to best use AI for sustainable value creation.
![Tom Davenport Tom Davenport](/sites/default/files/styles/wide/public/testimonies/images/tom-davenport.jpg?itok=glA0Glhf)
![Omar El Sawy Omar El Sawy](/sites/default/files/styles/wide/public/testimonies/images/omar-el-sawy.jpg?itok=HiE5q1aS)
![Igor Jablokov Igor Jablokov](/sites/default/files/styles/wide/public/testimonies/images/igor-jablokov_0.jpg?itok=o8XHZByz)
![Ariel Shamir Ariel Shamir](/sites/default/files/styles/wide/public/testimonies/images/ariel-shamir.jpg?itok=T_VtvYbl)
![Christopher Tucci Christopher Tucci](/sites/default/files/styles/wide/public/testimonies/images/christopher-tucci.jpg?itok=DoSnLTsQ)
![](/sites/default/files/styles/wide/public/2024-05/jerry-wind.jpg?itok=Mss1Zrzt)
![Salma André Salma André](/sites/default/files/styles/wide/public/testimonies/images/salma2-lyon3.jpg?itok=Smvqe0wn)
Salma is a doctoral candidate in management, specialized in marketing, at University Jean Moulin Lyon III. Her research addresses psychological aspects of Human-Robot interaction in the service context. She holds a master's degree in marketing and a master's degree in research in management from University Lyon III. She used to be a quantitive analyst at Nielsen, Consumer Insights.
![Iris Poon Iris Poon](/sites/default/files/styles/wide/public/testimonies/images/iris-poon.jpg?itok=2CnNjYW9)
Iris has a research interest in artificial intelligence and academic-industry partnership in the healthcare industry. She completed her master's degree of Applied Economics in Paris School of Economics upon her graduation of undergraduate study at the University of Hong Kong in Economics and Finance.
![Nathan Sorin Nathan Sorin](/sites/default/files/styles/wide/public/testimonies/images/nathan-sorin.jpg?itok=sLhvifDH)
Nathan is currently enrolled in the PHD program at SKEMA Business School. His research focuses on AI-enabled business models as well as the influence of creative AI on entrepreneurial creativity. He holds a "Grande Ecole" MSc in Management from emlyon Business School and a Master's degree in Research in Management from University Lyon III.
![Lijun Xie Lijun Xie](/sites/default/files/styles/wide/public/testimonies/images/lijun2-sized.jpg?itok=-6aak7Xa)
Lijun is currently a PhD student in the Management specialization at SKEMA Business School. Her research will address the topic of Artificial Intelligence (AI) in digital marketing. She holds a MSc in Artificial intelligence and Business Transformation from Skema Business School and ESIEA engineering shool, and a bachelor's degree in Economics and Management from the University of Paris 2 Panthéon-Assas.
Initiative ETHICAL PUBLIC ROBOTS AND AI (EPURAI)
A. Ozkes (SKEMA Business School)
EPURAI is a research initiative that aims to bring together perspectives on how citizens can participate in the design and policymaking of automated services. The goal is to study public oversight and adoption regarding these systems. The focus is on ethical perspectives vis-à-vis rules and regulations for deploying intelligent systems and robots in public and commercial services. Theoretical contributions come from social choice theory, game theory, and decision theory, while empirical approaches include laboratory experiments, field experiments, agent-based modeling, and mass surveys. Workshops, seminars, and collaborations with researchers and practitioners from various fields, including computer science, economics, and psychology, are organized to facilitate discussions. Specific topics include ethics, human-AI interactions, transparency, fairness, autonomy, job displacement, equity, bias, privacy, and co-engineering processes. Our efforts are financed through project funding by ANR (for EPURAI – Ethical Public Robots and AI) and CNRS (for MOSCAI – Morality, AI, and Social Choice) in France and receives institutional support from SKEMA Business School, Université Paris-Dauphine, University of Cincinnati, and WU Vienna.
Website
![Robot service](/sites/default/files/2024-05/resize-robot-service.jpg)
A review-based recommender system: Recommending products according to the helpfulness and positive sentiment of reviews
M. Haikel-Elsabeh (Institut Mines-Télécom Business School), Maria Olmedilla Fernandez (SKEMA Business School), J.C Romero (Université Paris Dauphine-PSL)
We propose a recommender system adapted to eWOM communities that provides recommendations to users based on the sentiment and the helpfulness that users express in their product online reviews. The goal of this work is to understand how to transform and apply machine learning algorithms to review data from eWOM communities so as to create an optimized recommender system.
![review](/sites/default/files/2024-05/rev-resized.png)
AI and Human Resource Management
Yujie Cai (SKEMA Business School), Guoyang Zheng (Peking University)
We examine the impact of AI on the people management functions in modern organisations. Based on platform enterprises and other firms that adopt AI techniques, we explore the impact of AI characteristics (e.g., intensity, access, and transparency) on the human behaviours within various teams in modern organisations. The people elements (e.g., personal traits, individual behaviours), management practices, leadership behaviours and organisational climate have been included in the framework. This research has implications on the Human-Computer Interaction and the humane implementation of the AI systems.
![AI human management](/sites/default/files/2024-05/ai-human-management-resized.jpg)
When Information Disclosure is Required by Algorithms: Presence-Privacy Tradeoff in GeoMatching Applications
Zhenzhen Zhao (SKEMA Business School)
Using geolocation and user profile information, GeoMatching applications make connections between two individuals. To make connections possible, users must disclose their information. Such information disclosure depends upon the algorithm that the app proposed. This research aims to investigate information disclosure from an algorithm perspective. We explain the relationship between the disclosure requirement and the user’s attitude toward using GeoMatching by introducing the presence-privacy trade-off.
![geomatch](/sites/default/files/2024-05/geomatch-sized.jpg)
A hybrid recommender system based on eWOM and social behaviour to improve users’ product preferences
Maria Olmedilla Fernandez (SKEMA Business School), M. Haikel-Elsabeh (Institut Mines-Télécom Business School), J.C Romero (Université Paris Dauphine-PSL)
Traditional recommender systems make use of the overall rating as an input to recommend items, which leads to the cold-start problem and data sparsity. The goal of this work is to reduce the undesirable outcomes caused by such problems and to optimize the predictive outcomes of the recommendations in the context of eWOM communities.
We propose a hybrid recommender system that combines Social and eWOM variables as input and uses the Kmeans algorithm for dimensionality reduction and the collaborative filtering SVD++ algorithm to optimize the accuracy of recommendations.
![robot](/sites/default/files/2024-05/robot-resized-dpi-kb.png)
Applying NLP techniques to characterize what makes an online review trustworthy
Maria Olmedilla Fernandez (SKEMA Business School), J.C Romero (Université Paris Dauphine-PSL), M.R. Martínez-Torres (Universidad de Sevilla), S. Toral (Universidad de Sevilla)
Trustworthiness of online reviews is a key aspect not only for the users that want to make more informed decisions regarding the products but also for the websites whose credibility might be affected.
This work proposes a classification system using two Natural Language Processing (NLP) models that can predict helpful and truthful online reviews. After using a keyword extractor model we can also characterize their most important features.
![great service](/sites/default/files/2024-05/great-service-resize-dpi-kb.jpg)
Expressions of Public Values in AI Patenting
Philip Shapira (University of Manchester and Georgia Institute of Technology), Barbara Ribeiro (SKEMA Business School) and Sergio Pelaez (Georgia Institute of Technology)
AI patent applications and awards have burgeoned in recent years as inventors and assignees seek public acknowledgement of proprietary intellectual property rights for AI applications. Public concerns about the consequences of AI have also risen. This research is developing a method to identify how public values are expressed in AI patents and to assess developments
![cloud](/sites/default/files/2024-05/cloud-resized.jpg)
Consumer Psychology on AI
Alican Mecit (SKEMA Business School) and Margherita Pagani (SKEMA Business School)
Consumer psychology on AI focuses on how individuals react to, interact with, and think about algorithms and AI-powered tools in the marketplace. Research in the area studies diverse topics such as mind perception, agency, and trust that are based on the cognitive and affective impressions of consumers related to AI and other automated tools.
![consumer AI](/sites/default/files/2024-05/consumer-ai-kb-dpi.jpg)
Enhanced Creativity using Artificial Intelligence
Margherita Pagani (SKEMA Business School) and Yoram (Jerry) Wind (The Wharton School of the University of Pennsylvania)
Despite the growing adoption of Artificial Intelligence (AI) systems in business processes, how AI systems impact managers’ creativity is not yet well understood and measured. Using a mix-method approach we explore the influence of AI systems on human creativity. and identify an interpretative conceptual framework of the impact of AI on human creativity.
![creativity](/sites/default/files/2024-05/creativity-kb-dpi-resize.jpg)
The Augmented Entrepreneur? The Influence of Artificial Intelligence on Human Entrepreneurial Creativity
Nathan Sorin (SKEMA Business School) and Margherita Pagani (SKEMA Business School)
With the recent progress in AI research, and in particular natural language processing (NLP), creativity scholars have revisited the assumption that machines are incapable of being creative. As creative AI systems tend to be used by practitioners to augment rather than automate creative tasks, our research aims to provide a theoretical understanding of the phenomenon as well as practical guidelines for creators by investigating how creative AI influences idea generation in an entrepreneurial context.
![writing](/sites/default/files/2024-05/writing-size-kb-dpi.jpg)
Next events
2023-24 Seminar Series
The Research Seminar Series organised by the Research Centre for Artificial Intelligence convenes faculty, PhD students, postdoctoral fellows, and alumni for in-depth discussions by recognised scholars on how artificial intelligence creates business, ethical and societal value. The goal of the series is to stimulate interdisciplinary research, campus-wide interactions and networking.
- Three Perspectives on AI in Business: Innovation, Growth, and Sustainability (Prof. René Bohnsack, Professor for Strategy and Innovation - Católica-Lisbon)
- AI research for Climate Change and Environmental Sustainability (Prof. Claire Monteleoni, Research Director, INRIA Paris)
- Deep Listening of Climate Imaginaries - Opportunities for GenAI in Communicating Climate Futures (Prof. Yihyun Lim, Assistant professor University Southern California and Former Director MIT Design Lab)
- Economic Statecraft and International Regime Building to Manage AI (Prof. Vinod K. Aggarwal , Director Berkeley APEC Study Center – University of California Berkeley)
2022-2023 Seminar Series
- Assessing Trustworthy AI (Prof. Elisabeth Hildt, Professor of Philosophy - Director of the Center for the study of Ethics in the Professions Illinois Institute of Technology)
- Algorithmic management at work beyond the gig-economy: from practices to theory (and regulation) (Prof Antonio Aloisi: Marie Skłodowska-Curie Fellow and Assistant Professor of European and Comparative Labour Law at IE Law School)
- Creativity-on-demand: Co-creative AI products to augment the creativity of work professionals (Prof. Neil Maiden, Professor of Digital Creativity - Bayes Business School)
Reading Groups
- AI and the problem of Autonomy
- AI and Creativity
- Robots and Anthropomorphism
- Investigating the access to AI: modes of release and model marketplaces (Led by Prof. Simone Vannuccini, Université Côte d’Azur)
- Interpretable Machine Learning (Led by Prof. Chitu Okoli, SKEMA Business School)
- Machine Learning and Accounting Research (Led by Prof. Roland Königsgruber, SKEMA Business School)
Workshops & Conferences 2022
- Workshop: Ethics of Public Robots and Artificial Intelligence
- Conference: Enhanced Creativity using Artificial Intelligence (Margherita Pagani, Professor of Digital and Artificial Intelligence in Marketing and Associate Dean SKEMA AI School for Business)
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Thèmes communs dans la recherche des membres du "SKEMA Centre for Artificial Intelligence".
Visuel créé avec le logiciel ARTIREV.
![Skema SCAI Research theme](/sites/default/files/styles/fullscreen/public/2024-05/skema-scai-research-themes-visual.jpg.webp?itok=ayICZuOP)
Contact us
Our team is at your disposal for any further information you may require.
![avatar](/sites/default/files/styles/wide/public/2024-07/avatar-400x400px.jpg?itok=Xl4g86hR)
Faculty and Research Team
direction.faculte@skema.edu
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