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.