Ethics in AI Teacher Training

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AI ethics in teaching

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Jonathan Muscat

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Ethics in AI Teacher Training


Froggy Jumps Ethics in AI Teacher TrainingVersión en línea AI ethics in teaching por Jonathan Muscat 1 What is the main goal of ethics in AI teacher training? a To ensure AI is used responsibly to support learning and avoid harm. b To maximize AI profit in education institutions c To replace teachers with machines entirely. 2 Which principle helps make AI decisions understandable to teachers and students? a Autonomy of the AI system b Transparency (explainability) c Confidentiality 3 What kind of data should educational AI use be based on? a Data only from external sources without context b Randomly collected data without consent c Fair, consented, and privacy-protected data 4 Which risk is associated with deploying AI in classrooms? a No impact on learning outcomes b Guaranteed perfect accuracy c Algorithmic bias leading to unfair treatment 5 How should teachers handle student consent when using AI tools? a Ignore consent to save time b Inform students and guardians about data usage and obtain consent where required c Only inform administrators, not students or guardians 6 What belongs on an ethics checklist for AI tools in education? a Aesthetics and color preferences b Bias checks, privacy, consent, accountability, and monitoring c Only cost and speed metrics 7 What does "human-in-the-loop" mean in AI education contexts? a Teachers review AI outputs and decisions b AI operates independently without human input c Students operate the AI without teacher guidance 8 Which practice promotes accountability for classroom AI? a Rely solely on AI to monitor itself b Hide all AI activities from stakeholders c Clear responsibility and regular audits of AI systems 9 Why is ongoing monitoring of AI tools important? a To detect drift, bias, and misuses over time b To increase system complexity without change c Because initial tests are enough 10 How should training address potential bias in AI for education? a Ignore bias if performance is high b Focus only on accuracy, not fairness c Use diverse data, fairness testing, and impact assessments

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Ethics in AI Teacher Training

Froggy Jumps

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Ethics in AI Teacher TrainingVersión en línea

por Jonathan Muscat

What is the main goal of ethics in AI teacher training?

Which principle helps make AI decisions understandable to teachers and students?

What kind of data should educational AI use be based on?

Which risk is associated with deploying AI in classrooms?

How should teachers handle student consent when using AI tools?

What belongs on an ethics checklist for AI tools in education?

What does "human-in-the-loop" mean in AI education contexts?

Which practice promotes accountability for classroom AI?

Why is ongoing monitoring of AI tools important?

How should training address potential bias in AI for education?