Objectives

To investigate, theorize, and advance the principles of society-centered artificial intelligence—positioning AI systems not as neutral technical instruments, but as inherently political artifacts shaped by, and shaping, the social contexts in which they operate.

To examine the philosophical and epistemological implications of AI-mediated knowledge production in educational settings, interrogating how algorithmic systems alter the conditions of learning, knowing, and meaning-making.

To produce rigorous, evidence-based scholarship that challenges techno-solutionist narratives, revealing the ways AI systems encode, amplify, or disrupt power relations across global educational contexts.

To center educational equity as the organizing principle of AI research and deployment, recognizing that technology's value lies not in efficiency gains, but in its capacity to advance human dignity, democratic participation, and collective flourishing.

To cultivate public discourse and policy guidance that reorients AI development toward society-wide benefit, ensuring that AI serves pedagogical integrity, cultural sovereignty, and the common good rather than extraction, surveillance, or consolidation of power.

To map the landscape of AI in education through systematic research that identifies leverage points where intervention can catalyze equitable transformation, particularly in under-resourced and marginalized educational contexts.

To develop and disseminate frameworks for assessing AI systems' alignment with society-centered principles—providing educators, policymakers, and communities with tools to evaluate whether AI systems honor or undermine their values.

To investigate the cognitive, social, and ethical implications of AI integration in learning environments, examining questions of agency, authenticity, attention, and the human capacity for sustained intellectual engagement.

To interrogate issues of data sovereignty and epistemic justice, challenging extractive data practices and advocating for models of AI development that honor local knowledge, cultural diversity, and community ownership.

To document and amplify alternative pathways for AI development—decentralized, context-sensitive, and community-governed systems that resist the concentration of intelligence and power in corporate or state monopolies.

To support educators, scholars, and practitioners through accessible research, critical analysis, and practical guidance that empowers them to navigate AI's integration with pedagogical wisdom, ethical clarity, and political awareness.

To ensure the long-term sustainability of society-centered AI scholarship by building networks of collaboration, fostering interdisciplinary dialogue, and contributing to a global movement for education as a site of resistance, reimagination, and renewal.