No More Trade-Offs. GPT and Fully Informative Privacy Policies
CoRR(2023)
摘要
The paper reports the results of an experiment aimed at testing to what
extent ChatGPT 3.5 and 4 is able to answer questions regarding privacy policies
designed in the new format that we propose. In a world of human-only
interpreters, there was a trade-off between comprehensiveness and
comprehensibility of privacy policies, leading to the actual policies not
containing enough information for users to learn anything meaningful. Having
shown that GPT performs relatively well with the new format, we provide
experimental evidence supporting our policy suggestion, namely that the law
should require fully comprehensive privacy policies, even if this means they
become less concise.
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