Enterprise AI Analysis

Navigating Ethical and Socio-Technical AI Concerns

When introducing AI literacy and AI competency into pre-service teacher education, ethical considerations address what counts as responsible use of AI for teaching, learning, and assessment, including fairness, privacy, transparency, accountability, academic integrity, student wellbeing, and environmental sustainability. Socio-technical considerations emphasize that these risks and benefits do not arise from model behaviour alone but emerge through the interaction of data, design choices, platform governance, and institutional conditions.

AI systems can reproduce and amplify bias from training data, shaping examples and feedback in ways that may advantage some learners while marginalising others. Generative AI can also produce plausible but incorrect information, known as hallucinations, creating risks of inadvertent misinformation. Pre-service teachers need the ability to anticipate and detect biased or unreliable outputs, triangulate with trusted sources, and adapt materials to protect fairness, inclusion, and content accuracy.

Using AI tools in educational settings requires careful decisions about information input, storage, access, and reuse, governed by platform terms and institutional policies. Innocent prompts can disclose personal or sensitive data. Pre-service teachers must develop habits of data minimisation, interpret rules, and implement practical workflows to safeguard privacy while supporting legitimate teaching, learning, and assessment needs.

AI tools can subtly shift responsibility, but accountability in schools remains human and institutional. Teachers remain responsible for educational decisions and their alignment with curricular and ethical expectations. This requires pre-service teachers to make context-sensitive task-tool decisions, recognise inappropriate AI support, and maintain a clear chain of professional reasoning rather than outsourcing judgement.

Effective Approaches for AI Integration

AI-related preparation in pre-service teacher education uses diverse approaches: lecture-based, critical inquiry and reflection, and co-design. These approaches are often complementary, addressing different aspects of knowledge development, professional enactment, and risk awareness in school contexts.

The lecture-based approach introduces AI literacy through standalone lessons or integrated modules. It focuses on establishing a basic conceptual model of AI for educational reasoning, covering how generative AI produces outputs, reasons for bias or incorrectness, and relevant classroom limitations. It also builds awareness of practical concerns like privacy risks and the impact of over-reliance on professional judgement.

Critical inquiry and reflection approaches address the socio-technical complexity of AI use. Activities involve guided examination of AI outputs, classroom scenarios, and decision-making under institutional constraints. These methods help pre-service teachers develop critical evaluation, reasoning, and context-sensitive decision-making by comparing AI outputs, checking against reliable sources, and identifying bias or omissions.

Strategic Outlook and Key Takeaways

AI literacy and competency in pre-service teacher education are distinct but related capabilities. Literacy is the shared knowledge base for understanding AI systems, evaluating information, and considering task-tool fit in relation to fairness, privacy, transparency, accountability, academic integrity, equity, and environmental sustainability. Competency is the application of this literacy in routine professional tasks, such as lesson planning and assessment design.

In programme design, AI-related preparation is an integrated set of learning experiences. Lecture-based teaching establishes shared concepts. Critical inquiry strengthens evaluation and accountability. Co-design connects knowledge to practical planning and assessment. Sequenced across coursework and placements, these approaches make progression in AI literacy and competency explicit, aligning with educational objectives and values.