Key research themes
1. What are the conceptual and philosophical limitations that challenge the realization of Artificial General Intelligence (AGI)?
This theme investigates foundational theoretical barriers to achieving AGI, scrutinizing distinctions between artificial narrow intelligence and general intelligence, the nature of human cognition, and whether machines can fundamentally replicate human reasoning, consciousness, and embodied knowledge. It matters because these conceptual debates shape expectations, methodologies, and realistic goals in AGI research.
2. What are the architectural, cognitive, and methodological approaches for progressing toward and evaluating Artificial General Intelligence?
This research domain focuses on defining AGI operationally, outlining core capabilities and architectural requirements, and proposing roadmaps and evaluation metrics. It covers developmental psychological insights, human-level intelligence attributes, and the integration of diverse AI methods (e.g., machine learning, symbolic and subsymbolic representations) to achieve flexible, general problem-solving. This theme is vital for structuring AGI research strategies and benchmarking progress toward machines with broad cognitive competencies.
3. What are the societal, ethical, and philosophical implications of Artificial General Intelligence and emerging Artificial Intelligence technologies?
This theme explores AI’s impact on human identity, labor, governance, and future socio-technical orders, including posthumanist perspectives and challenges to anthropocentrism. It addresses risks related to control, surveillance, alienation, and economic disruption prompted by increasingly capable AI systems. Understanding these implications guides responsible AGI research and frames debates about ethical AI governance, cultural pluralism in AI development, and the sustainability of technological acceleration within human civilization.