PromptRiskDBThreat intelligence atlas
AI Risk

Education - Learning

In contrast to traditional machine learning, the impact of generative AI in the educational sector receives considerable attention in the academic literature. Next to issues stemming from difficulties to distinguish student-generated from AI-generated content, which eventuates in various opportunities to cheat in online or written exams, sources emphasize the potential benefits of generative AI in enhancing learni...

AI Risk4. Malicious Actors & Misuse4.3 > Fraud, scams, and targeted manipulation2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain4. Malicious Actors & MisuseThe broad risk area this belongs to.

Risk profile

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In contrast to traditional machine learning, the impact of generative AI in the educational sector receives considerable attention in the academic literature. Next to issues stemming from difficulties to distinguish student-generated from AI-generated content, which eventuates in various opportunities to cheat in online or written exams, sources emphasize the potential benefits of generative AI in enhancing learning and teaching methods, particularly in relation to personalized learning approaches. However, some papers suggest that generative AI might lead to reduced effort or laziness among learners. Additionally, a significant focus in the literature is on the promotion of literacy and education about generative AI systems themselves, such as by teaching prompt engineering techniques.

Domain4. Malicious Actors & Misuse
Subdomain4.3 > Fraud, scams, and targeted manipulation
Entity1 - Human
Intent1 - Intentional
Timing2 - Post-deployment
CategoryEducation - Learning
Subcategoryn/a

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

Research source for this risk, when available.