August 21 - Macao, China

 AiOfAi: 3rd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies 

at the 32nd International Conference on Artificial Intelligence (IJCAI-23)

Workshop Aim and Scope

The role of Artificial Intelligence (AI) in people’s everyday life has grown exponentially over the last decade. Currently, individuals rely heavily on intelligent software applications across different domains including healthcare, logistics, defence, and governance. Particularly, AI systems facilitate decision-making processes across these domains through the automatic analysis and classification of large data sets and the subsequent identification of relevant patterns. To a large extent, such an approach has contributed to the sustainable development of modern societies and remains a powerful instrument for social and economic growth. However, recent events related to the massive spread of misinformation and deepfakes, along with large privacy and security breaches, have raised concerns among AI practitioners and researchers about the negative and detrimental impacts of these technologies. Hence, there is an urgent call for guidelines, methods, and techniques to assess and mitigate the potentially adverse impacts and side effects of AI applications.

This workshop explores how and up to which extent AI technologies can serve deceptive and malicious purposes whether intentionally or not. Furthermore, it seeks to elaborate on countermeasures and mitigation actions to prevent potential negative effects and collateral damages of AI systems.

Workshop Organizers

Esma Aïmeur

Nicolas Diaz Ferreyra

Hamburg University of Technology


Publicity Chair

Dorsaf Sallami

 Universi de Montréal



Roy Ka-Wei Lee  - Invited Keynote Speaker

Roy Ka-Wei Lee is an Assistant Professor at the Information Systems Technology and Design Pillar, Singapore University of Technology and Design. His research focuses on the intersection of data mining, machine learning, social computing, and natural language processing. Roy's particular interest lies in understanding user behaviors across multiple social networks and promoting online safety. He dedicates his efforts to designing solutions that combat online hate speech and misinformation. Roy is currently leading the Social AI Studio, a dedicated research group that strives to develop cutting-edge social artificial intelligence systems. His work has been recognized and published in renowned conferences and journals such as IEEE TKDE, IEEE TNNLS, IEEE TCSS, IEEE ICME, IEEE ICDM, ACM Multimedia, ACM SIGKDD, IJCAI, WWW, ACL, EMNLP, COLING, among others. Roy also actively contributes to the academic community by serving on program committees and acting as a reviewer for these esteemed conferences and journals. Currently, he holds the roles of Reviewer Mentoring Co-Chair for EMNLP'23 and Proceeding Chair for WWW'24. Roy is a IEEE senior member.