THE ETHICS OF AI IN EDUCATION

Artificial intelligence (AI) is the use of machines and algorithms to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. AI has been increasingly applied in various domains, including education. AI in education (AIED) refers to the use of AI and data to enhance learning, teaching, and assessment. AIED can offer many benefits, such as personalizing learning, improving feedback, increasing access, and reducing costs.

However, AIED also raises ethical issues and challenges that need to be addressed. These include how to ensure human agency, fairness, humanity, and justified choice in the use of AI and data; how to protect personal data and privacy; how to prevent bias and discrimination; how to foster trust and accountability; how to promote inclusion and diversity; how to respect human rights and dignity; and how to prepare students for a world where they will interact with intelligent machines.

In this blog post, we will explore some of the ethical principles and guidelines that have been proposed by researchers and international organizations to address these issues and challenges. We will also discuss some of the implications and recommendations for educators, policy-makers, technology developers, and other stakeholders involved in AIED.

Ethical principles for AIED

Ethical principles are general norms or values that guide the design, development, deployment, and evaluation of AIED. They provide a common framework and language to identify and address ethical issues and challenges. Several researchers and international organizations have proposed ethical principles for AIED, based on existing ethical frameworks for AI or education.

For example, Nguyen et al. conducted a thematic analysis of 14 international policies and guidelines on AIED ethics and identified seven ethical principles: human agency, fairness, humanity, justified choice, transparency, accountability, and privacy. These principles are consistent with the core values of respect for human dignity, human rights, justice, solidarity, democracy, diversity, inclusion, openness, sustainability, well-being, innovation, excellence, collaboration, and empowerment that underpin the UNESCO Recommendation on the Ethics of Artificial Intelligence, which was adopted by all 193 Member States in November 2021.

Another example is Holmes et al., who proposed a community-wide framework for AIED ethics based on four dimensions: pedagogical values (such as learner autonomy, engagement, and achievement), social values (such as equity, diversity, and inclusion),

professional values (such as competence,

integrity, and responsibility), and epistemological values (such as validity,

reliability, and generalizability). These dimensions are aligned with the ethical principles of beneficence, non-maleficence, autonomy, justice, and veracity that are widely accepted in educational research.

Ethical guidelines for AIED

Ethical guidelines are specific recommendations or best practices that operationalize the ethical principles for AIED. They provide concrete guidance and support for stakeholders to implement ethical AIED in their contexts. Several researchers and international organizations have developed ethical guidelines for AIED based on existing standards or frameworks for AI or education.

For example, UNESCO has published a guidance document for policy-makers on artificial intelligence and education, which aims to generate a shared understanding

of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era. The document provides practical advice and examples

on how to develop and implement policies

and strategies that promote ethical AIED

in areas such as data governance, curriculum development, teacher training,

assessment, quality assurance, and regulation.

Another example is Luckin et al., who developed a toolkit for educators on how to use AI ethically in their practice. The toolkit consists of four steps: identify the educational problem or goal; select an appropriate AI tool or solution; evaluate the ethical implications of using the AI tool or solution; and reflect on the outcomes and impacts of using the AI tool or solution. The toolkit also provides a checklist of questions and criteria to help educators assess the ethical aspects of AIED.

Conclusion

AI in education is a promising but complex field that requires careful consideration of its ethical implications. Ethical principles and guidelines can help stakeholders to identify and address ethical issues and challenges in AIED. However, these are not enough by themselves. They need to be accompanied by ongoing dialogue, collaboration, education, research, innovation, regulation, and evaluation among all stakeholders involved in AIED. By doing so, we can ensure that AIED is used in a way that respects human values and contributes to a more inclusive, equitable, and sustainable world.

References

(1) Ethical issues of the use of AI-driven mobile apps for education. https://www.frontiersin.org/articles/10.3389/fpubh.2022.1118116/full.

(2) Ethical principles for artificial intelligence in education. https://link.springer.com/article/10.1007/s10639-022-11316-w.

(3) Ethics of Artificial Intelligence | UNESCO. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics.

(4) Ethics of AI in Education: Towards a Community-Wide Framework - Springer. https://link.springer.com/article/10.1007/s40593-021-00239-1.