lecture 7 Flashcards
(19 cards)
What challenge do schools face regarding AI tools?
Readiness to regulate their use in education.
Who must set the rules for AI in education?
Individual education systems or institutions.
What potential negative impact can AI have on teachers?
It may undermine their status and the necessity of schools.
Where should education spending focus despite AI hype?
Fundamental learning objectives.
Which global body issued ethical guidance on AI in education?
UNESCO, via its Recommendation on the Ethics of Artificial Intelligence.
How should AI relate to traditional education values?
It should empower learners and teachers without reducing relational or social aspects.
What must be clarified about AI’s outputs according to UNESCO?
The benefits, limits, and risks, ensuring robust and sound data-driven conclusions.
What equity challenge does AI integration face?
Access and the digital divide, requiring attention to socio-technical factors.
What is techno-ableism in AI education?
Designing AI without disabled voices, risking exclusion from accessible tools.
Why must AI bias be addressed?
Because models can perpetuate societal prejudices unless diverse, critically aware teams are involved.
What socio-emotional risk does AI pose in classrooms?
Reduced human interaction impacting social skills and mental health.
What data concern is critical with AI use?
Privacy and security, needing informed consent and transparent systems.
What does “GPT” stand for?
Generative, Pre-trained, Transformer.
How does generative AI produce text?
By modeling statistical correlations in word sequences, without true reasoning.
Why can the same AI query yield different answers?
Because outputs are probabilistic, leading to variability and potential irrationality.
What core technology enables modern AI learning?
Neural networks that detect patterns in large datasets.
Name two key limitations of generative AI.
Lack of fact-checking and absence of genuine common-sense reasoning.
What central opportunity does AI bring to education?
Processing large data quickly, enabling personalized learning and expanded inclusivity.
What open horizon does AI challenge us to reconsider?
Our understanding of knowledge, epistemology, and the purposes of education.
