Ethical AI and Assistive Technology for Inclusive Education

As artificial intelligence rapidly transforms modern classrooms, ensuring that assistive learning tools are fair, accessible, and safe is more critical than ever. This course explores how to identify and address the ethical challenges that arise when deploying AI to support learners with diverse needs. You will gain a practical framework for analyzing AI-based educational tools, allowing you to champion inclusivity, protect student privacy, and mitigate algorithmic bias in your educational setting. What you'll learn: Understand foundational ethical principles and key terminology surrounding AI in assistive education; Identify algorithmic bias and implement strategies to ensure fairness and accessibility for all learners; Analyze data privacy and security challenges unique to students using AI tools; Evaluate AI-driven assistive technologies for ethical compliance and pedagogical soundness; Formulate actionable guidelines for safe and inclusive AI integration in modern learning environments. The course begins with core definitions of AI and assistive technology before guiding you through ethical frameworks, privacy standards, and practical methods for auditing educational tools. Designed for educators, instructional designers, EdTech enthusiasts, and school administrators, this course is completely beginner-friendly and requires no prior technical or programming background. Start reading today to build a safer, more equitable future for digital learning.