AI PLUS: Toward a paradigm of human–AI co-evolution
Abstract
Every major transition in human civilization has involved not only more powerful tools, but also new ways of understanding the world, organizing knowledge, and coordinating collective action.Writing externalized memory, printing expanded the circulation of ideas, computers extended the reach of calculation, and the Internet reconfigured information and connectivity.Artificial intelligence (AI) marks a more profound transition: rather than augmenting a single human faculty, it is becoming integral to the full continuum of cognition, discovery, creation, decision-making, and action.In 1962, Douglas Engelbart captured the deeper purpose of computing through the idea of "augmenting human intellect": the value of technology lies not in enabling machines to perform ever more tasks independently, but in strengthening humanity's capacity to comprehend complex problems, exercise judgment, and devise solutions.1 More than six decades later, foundation models, multimodal systems, autonomous agents, and embodied AI are carrying this vision into a new phase.AI systems are no longer confined to answering questions posed by humans; they increasingly contribute to problem formulation, hypothesis generation, experimental design, complex decision-making, and sustained interaction with the physical and social world.Demis Hassabis has argued that AI could become a major force in addressing global challenges such as disease, climate change, and energy. 2 AI is thus evolving from an instrument…
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.