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Jarkko Sakkinen
jarkko
Edited 1 year ago
IMHO best way to address AI plagiarism would be to educate the staff on the topic.
E.g. just with human eye and simple comparison you can often spot snippets of wikipedia articles.
Also, models always lag behind so by adding as up to date stuff as possible to assignments the applicability of AI will decrease by factors.
Generally speaking AI risks should be dealt same way as vulnerabilities and malware, i.e. you should think it as a process rather than a something ending up with some final solution.
E.g. just with human eye and simple comparison you can often spot snippets of wikipedia articles.
Also, models always lag behind so by adding as up to date stuff as possible to assignments the applicability of AI will decrease by factors.
Generally speaking AI risks should be dealt same way as vulnerabilities and malware, i.e. you should think it as a process rather than a something ending up with some final solution.
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Toni Aittoniemi
gimulnautti@mastodon.green@jarkko Definitely agree with the last paragraph.
Where I think though, education should start from is to stop speaking of machines that do modelling of data in terms that by definition point to human properties.
These machines are not understandable through words like creativity or intelligence, but by relationships in data.
And copyright laws do need to be rewritten, finally acknowledging the remix as a work of art. So far we have avoided it, but it was needed since 1980s
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