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AIと法律
Transparency duties for recommendation systems: why am I shown this
Recommendation and ranking algorithms face higher transparency demands and must give users some choice.
Content and product recommendation and ranking algorithms are, in several jurisdictions, required to disclose main parameters, offer a non-personalized option, and explain significant logic affecting users.
For recommendation-centric products, this directly shapes interaction design and product logic.
Build transparency and choice into the product ('why recommended', 'turn off personalization'), keep algorithmic descriptions, and configure per market.