This Collection is dedicated to unravelling the complex interactions between cutting-edge technological advancements and the intricate tapestry of cultural interactions that characterize our global landscape. It seeks to probe deeper into how Artificial Intelligence (AI) technologies can be thoughtfully and innovatively designed to not only recognise but also adapt to and respect diverse cultural paradigms, thereby enhancing the efficacy and ethics of intercultural communication.

As the digital age propels us into more frequent and nuanced intercultural exchanges, the role of AI in mediating these interactions becomes pivotal. This collection aims to foster a critical examination of both the potential and the challenges of integrating AI into diverse cultural contexts. We are interested in contributions that illuminate the ways in which AI can contribute to or complicate the pursuit of robust intercultural competence, offering insights that blend theoretical depth with practical applicability. Through this scholarly discourse, this collection aspires to set new benchmarks for how technologies can serve as conduits for ethical, effective, and enriching intercultural communications in a rapidly globalizing world.

Research is invited on the following and related topics and questions:

• Design of culturally competent AI systems: how can AI be programmed to recognize and adapt to cultural differences
• Impact of AI on cross-cultural communication: how do AI-driven platforms affect intercultural understanding and conflict
• Ethical considerations in AI and intercultural competence: what are the ethical challenges of using AI in multicultural settings?
• Globalization and cultural exchange: how does globalization facilitate or complicate cultural interactions?
• Education and training in intercultural competence: what roles do educational systems play in preparing individuals for a globalized, AI-integrated world?
• AI in international business and negotiation: how can AI tools enhance negotiation strategies and business operations across different cultural landscapes?
• Cultural bias in AI algorithms: how does inherent bias affect the outcomes of AI systems and what mechanisms can be implemented to mitigate these biases?
• Role of AI in cultural preservation and transmission: how can AI contribute to the preservation of cultural heritage and the transmission of cultural knowledge?
• Interdisciplinary methodologies in AI and cultural studies: what interdisciplinary approaches are effective in studying the interaction between AI and cultural dynamics?
• AI, intercultural communication, and global health: how is AI being used to bridge cultural gaps in global health initiatives?
• Privacy and security concerns in cross-cultural AI applications: what are the privacy and security challenges when AI systems operate across different cultural and regulatory landscapes?