Education - Learning
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
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.(p. 7)
Other risks from Hagendorff (2024) (16)
Fairness - Bias
1.1 Unfair discrimination and misrepresentationSafety
7.1 AI pursuing its own goals in conflict with human goals or valuesHarmful Content - Toxicity
1.2 Exposure to toxic contentHallucinations
3.1 False or misleading informationPrivacy
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationInteraction risks
5.1 Overreliance and unsafe use