WAIM 2026 - 8th Workshop on Artificial Intelligence and Management

Scope  

The rapid acceleration of generative artificial intelligence (AI) continues to define the mid-2020s, marking a transformative juncture that brings both profound opportunities and pressing challenges. As AI becomes increasingly embedded in business practices, governance, and everyday life, it is essential to examine its trajectory through rigorous scientific inquiry and within the broader frameworks of society, organizations, and technology. 

This workshop aims to assemble and connect researchers from diverse disciplines, including management, economics, social sciences, computer science, and engineering, who are advancing the frontiers of AI research. In 2026, discussions will emphasize not only the technical breakthroughs in generative models, natural language processing, robotics, and multimodal systems, but also their ethical, economic, and societal implications. Special attention will be given to issues of trust, transparency, sustainability, and the evolving relationship between human and intelligent systems.

By fostering dialogue across perspectives, the workshop seeks to generate actionable insights that will help shape responsible innovation and guide the integration of AI into business and society in ways that are both impactful and sustainable.

List of topics of interest  

Topics of interest include (but are not limited to): 

•         AI and Climate changes and sustainability 

•         AI and Education 

•         AI and politics 

•         AI in Armed Forces 

•         AI in Corporate Governance 

•         AI in Finance 

•         AI in Governance of Information Systems 

•         AI in human resource management 

•         AI in marketing 

•         AI in Technical Communication 

•         Collective Intelligence in Business 

•         Ethical Perspectives of AI 

•         History and trends on AI 

•         Machine learning in business 

•         Managing AI 

•         Military Intelligence

•         Natural language processing in business 

•         Robotics in Business 

•         The Societal Impact of AI 

Organizing Committee 

·       Carlos J. Costa, ISEG, Universidade de Lisboa, Portugal, This email address is being protected from spambots. You need JavaScript enabled to view it. 

·       Manuela Aparício, NOVA IMS, Universidade Nova de Lisboa, Portugal, This email address is being protected from spambots. You need JavaScript enabled to view it.

Program Committee (TBC)  

·       Anders Morch, University of Oslo, Norway

·       Andreas Karatsolis, Massachusetts Institute of Technology (MIT), USA

·       Brad Mehlenbacher, University of Waterloo, USA

·       Carlos Bernardino, Academia da Força Aerea, Lisboa, Portugal

·       Carlos Costa, ISEG, Universidade de Lisboa, Portugal

·       Claudio Luis Larieira, EAESP/FGV, Brazil

·       Clay Spinuzzi, The University of Texas at Austin, USA

·       Christophe Bisson, SKEMA Business School, France

·       Cristiane Drebes Pedron, UNINOVE, Universidade Nove de Julho, Brazil

·       Fernando Bento, ISCTE-IUL, Portugal

·       Flavio Romão, , ISEG, Universidade de Lisboa, Portugal

·       João Aparicio, IST, Portugal

·       João Becker, FGV EAESP. Brazil

·       Joaquim Reis, ISCTE-IUL, Portugal

·       Manuela Aparicio, NOVA IMS, Universidade Nova de Lisboa, Portugal

·       Marcirio Silveira Chaves, Business School, PUCRS, Brazil

·       Marco Porta, University of Pavia, Italy

·       Pascal Andre, LS2N - University of Nantes, France

·       Ingvar Tjostheim, Hauge School of Management, NLA, Norway