New year, new pitch decks — AI EdTech vendors are knocking, and the tools are genuinely useful. But adopting the wrong tool, or the right tool without proper due diligence, can create data privacy, IP, and assessment integrity problems that outlast the trial period. This session gives you a practical framework for evaluating AI tools before they touch your students, your data, or your assessment processes.

Key Topics

· Questions to ask vendors before you trial (or buy) an AI tool

· Student data handling, privacy, and where AI tools store and use information

· IP and copyright considerations for AI-generated or AI-assisted content

· Assessment integrity risk-checking for tools that touch student work

· A simple due diligence checklist you can reuse for every new tool

Accessibility

General information

Features