
A research institute dedicated to guiding the future of AI, including social impact and educational norms.
The UN agency responsible for the 'Recommendation on the Ethics of Artificial Intelligence'.
Belgium · Nonprofit
The global union federation of teachers' trade unions, representing 32 million education personnel worldwide.
The executive branch of the EU, responsible for the Digital Competence Framework for Educators (DigCompEdu).
A research centre at University College London exploring how digital technologies shape the future of education and society.
A research center at Harvard University exploring the ethics, governance, and social impact of digital technologies including crypto.
A non-profit authorized by Congress to spur innovation in education.
OECD
France · Government Agency
Adopted the 'Recommendation on Responsible Innovation in Neurotechnology' to guide governments and companies.

Center for Democracy & Technology (CDT)
United States · Nonprofit
Advocates for civil rights in the digital age, with a dedicated 'Student Privacy' project.

Data & Society
United States · Research Lab
Research institute focused on the social and cultural issues arising from data-centric technological development.
The human agency versus AI instruction framework addresses fundamental questions about the role of human educators, the value of human pedagogical relationships, and the risks of over-reliance on AI tutors and synthetic mentors as AI systems become increasingly capable of delivering effective instruction. These ethical guidelines recognize that while AI tutors may outperform traditional instruction in certain contexts, human educators provide irreplaceable value through emotional support, mentorship, inspiration, social connection, and the modeling of human values and relationships. The framework focuses on establishing safeguards that prevent over-reliance on AI systems, preserve essential human pedagogical relationships, and ensure that AI enhances rather than replaces the human elements of education that are crucial for holistic development.
This framework addresses concerns about the potential dehumanization of education as AI systems become more capable, where over-reliance on AI tutors could diminish the human relationships, mentorship, and social connections that are essential for learning and development. By defining the unique value of human educators and establishing guidelines for appropriate AI use, these frameworks can ensure that technology enhances rather than replaces human elements of education. Educational researchers, ethicists, teacher organizations, and institutions are exploring these issues, with growing recognition of the need to preserve human agency and relationships in education.
The framework is particularly significant as AI tutoring systems become more sophisticated and effective, where understanding the appropriate role of AI and preserving human agency could become essential for maintaining quality education. As these technologies advance, establishing clear guidelines for human-AI collaboration could become critical. However, defining what constitutes over-reliance, balancing efficiency with human connection, and ensuring that guidelines are followed remain challenges. The framework represents an important area of ethical inquiry, but requires ongoing dialogue and implementation to be effective.