Ethical and Environmental AI in Assessment

As AI becomes an integral part of assessment design, delivery, and grading, the stakes are rising for educators, awarding bodies, and technology providers. While AI promises faster feedback, lower costs, and scalable solutions, it also raises pressing questions about fairness, transparency, and trust, especially in high-stakes educational contexts.

This webinar will explore how to align rapid technological adoption with the safeguards required in high-stakes educational contexts. We’ll examine the ethical foundations that must underpin AI-powered assessment, including fairness and non-discrimination, transparency, accountability, and privacy.

From the risks of bias in training data to the dangers of “black-box” models, we’ll look at how poor governance can erode trust and how clear communication, stakeholder engagement, and robust data handling can strengthen it. Real-world examples will highlight both the promise and pitfalls of AI in assessment, alongside practical steps for scaling responsibly using global standards like ISO/IEC 42001 and the OECD AI Principles.

Key takeaways

• Understand fairness, transparency, accountability, and privacy as applied to AI in assessment.
• Gain clarity on data protection, academic integrity, and fairness in AI use.
• Building Trust in AI-Based Assessment
• Environmental Impact of AI
• Choosing the right AI tools

Who is this webinar for?

• Educational professionals
• Learning managers
• Assessment managers
• Educational Leaders & Policymakers

This webinar is a must-attend for those seeking to innovate their assessment methods and embrace the benefits of AI in education while doing it rightly.

The future of assessment isn’t just automated—it’s ethical, scalable, and fair.

Learn more about Graide