• Module 5

    Assignment 5 – Gender and Artificial Intelligence

    Identify one example of gender bias in an AI system in education context. Explain why this bias occurs and propose strategies to mitigate it. Reflect on how ethical AI contributes to gender equality in digital learning or society. Write between 120 and 150 words. Please provide links if you use external sources.

    Feel free to constructively comment on other learners’ posts in the same thread.

  • One example of gender bias in AI systems in education is an AI-based career guidance tool that recommends science, technology, engineering, and mathematics (STEM) pathways more frequently to male students than to female students. This bias occurs because the AI is trained on historical data that reflects existing gender inequalities in subject choices and workforce participation. If past data shows fewer women in STEM, the system learns and reproduces this pattern. To mitigate this bias, developers should include women and diverse viewpoint in AI development, assess AI outputs for bias, and provide responsible AI training. Ethical AI contributes to gender equality by promoting fairness, transparency, and inclusion in digital learning. When AI systems are designed responsibly, they can challenge stereotypes, expand equal opportunities, and empower all learners regardless of gender. Thank you.