The Edtech Podcast

#281 - Risk Assessments for AI Learning Tools, a conversation, Part 1

5 snips
Nov 7, 2024
Dave Turnbull, the Deputy Head of Educator AI Training at Educate Ventures Research, shares insights on the importance of risk assessments for AI learning tools in education. He discusses who these assessments are for and their accessibility for educators. The conversation highlights ethical risks, data privacy, and the need for clear communication about AI tools. They explore the challenges educators face when integrating AI while ensuring student safety, emphasizing the shared responsibilities of developers and educators in fostering effective use of AI technologies.
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ADVICE

Use Concise Risk Tables

  • Read concise risk tables to quickly spot data and ethical concerns without technical expertise.
  • Use the mitigation tips and EVR staff notes to translate risk findings into classroom practice.
INSIGHT

Differentiate Data And Ethical Risks

  • Separate data risks (technical) from ethical risks (learner-focused) to clarify responsibilities.
  • Education-focused risk frames make assessments more relevant to teachers than generic AI risk tools.
ANECDOTE

Developer's Missed Risks Shaped The Work

  • Ibrahim recounts building an AI tutor and missing many practical risks during development.
  • That experience motivated EVR's risk assessments to surface overlooked privacy and bias issues.
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