Artificial Intelligence and Networks for a Sustainable Future: Connecting Species

Recent advances in artificial intelligence (AI) have revolutionized the way we collaborate and innovate. Over the past two years, large language models and deep learning techniques have not only enabled seamless human communication across diverse languages but have also begun to include other species, from dogs to humpback whales, in our communication networks. The language of plants, such as tomatoes, mimosa pudica, and the 'wood wide web,' is increasingly being deciphered thanks to AI and machine learning. Technologies in natural language processing (NLP), image recognition, audio analysis, and network analysis now allow for fuzzy data analysis on a scale and level of accuracy previously unimaginable. These advancements play a crucial role in promoting sustainability and addressing climate change. By analyzing complex networks of environmental data, AI uncovers patterns and trends that inform sustainable practices and policies. Network analysis helps understand the interconnectedness of various factors influencing the natural environment, enabling more effective interventions. The study of interspecies communication is an exciting new frontier. AI technologies enable us to decode and interpret the communication patterns of humans interacting with different species, fostering a deeper understanding of the natural world. For instance, innovative research is exploring the use of plants to capture human emotions by leveraging their subtle responses to environmental changes as indicators of human emotional states. Integrating AI with botanical sensors allows these systems to monitor and interpret plant responses to human presence, voice, and touch, creating biofeedback mechanisms that can enhance well-being and productivity in various environments. The 11th International Conference on Collaborative Innovation Networks is an international scientific event in which researchers explore the impact of AI technologies on communication and collaboration among humans, animals, and plants. They aim to examine the effects of these new technologies on scientific advancement, societal development, and ecological sustainability from multiple stakeholders’ perspectives. This includes analyzing societal and environmental implications, the economic impact of emerging technologies, and the sociological and psychological behavioral aspects, advancing theoretical insights, introducing innovative methods, and presenting empirical applications and case studies.