Utilizing AI for Academic Instruction and Development
In the rapidly evolving landscape of Artificial Intelligence (AI), the education sector is not left behind. The Beijing Consensus on Artificial Intelligence and Education, alongside the Council of Europe's framework, underscore the importance of rigorous legal and ethical standards and effective oversight in AI use in education.
AI holds immense potential to make learning more accessible, yet it can also exacerbate inequalities if not implemented equitably. This necessitates careful consideration and equitable implementation to ensure that AI benefits all students, particularly those with special educational needs and disabilities (SEND).
Public-private sector collaborations in AI in EdTech raise ethical questions, as the interests of private companies might compete with those of students. To address this, there is a need for regulations that foster trust, accountability, and long-term sustainability, ensuring that AI systems prioritise students' best interests and their education.
The use of emotion recognition tools and biometric technologies, such as facial recognition, in AI for education requires particular consideration. Research consistently highlights concerns about lack of representation and biased tools, especially for vulnerable children like those with SEND.
Regulation and compliance are essential pillars for responsible and ethical development of AI in education. To this end, several regulatory and policy initiatives are being considered or implemented.
Data Protection and Consent is a growing emphasis, requiring AI tools used in education to adhere to strict data minimization, transparency, and parental consent requirements. Policymakers are also encouraged to mainstream children’s rights into AI policies, drawing from international instruments such as the UN Convention on the Rights of the Child.
The U.S. Department of Education is proposing priorities to advance AI in education, focusing on integrating AI literacy skills into teaching practices and expanding AI and computer science education in K-12 schools. The White House Task Force on Artificial Intelligence Education aims to coordinate federal efforts to promote AI in education, including training educators in AI usage and creating an AI-ready workforce.
In the UK, the Information Commissioner's Office (ICO) is designing an Age-Appropriate Design Code to support the development of AI-powered technology for schools. The US Department of Education has published an essential guide for developers on AI in education, and the UK Government has issued its position on using large language models like ChatGPT in schools.
Looking ahead, there is a growing recognition of the need for interdisciplinary approaches that combine legal governance, digital literacy, and ethical principles to ensure the ethical use of AI in education. Collaboration among policymakers, educators, and technology developers is crucial for developing effective AI governance policies that respect children's rights.
AI in EdTech poses risks, such as privacy breaches and heightened surveillance. However, with a children's rights-respecting approach to AI governance, institutions can establish necessary safeguards and ensure AI is used in the best interest of students and educators. This approach can make teaching more inclusive, providing insights into students' learning patterns, supporting teachers in curriculum design and assessment, and personalizing content and learning experiences.
Technology, education-and-self-development, and policy-and-legislation are crucial in ensuring that Artificial Intelligence (AI) benefits all students, particularly those with special educational needs and disabilities (SEND). For instance, regulation and compliance are essential pillars for responsible and ethical development of AI in education, as seen in the growing emphasis on data protection, parental consent, and mainstreaming children’s rights into AI policies. Politics also plays a role in this discourse, as policymakers and governments create initiatives to advance AI in education, like the U.S. Department of Education's focuses on AI literacy and integration into K-12 schools. To guarantee AI's ethical use in education, collaboration among policymakers, educators, and technology developers is vital, employing interdisciplinary approaches that combine legal governance, digital literacy, and ethical principles.
