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What is the most appropriate way to detect and address bias in a recommendation algorithm that disadvantages a particular group?
①Conduct regular bias audits and adjust data and models.
②Ignore concerns about bias and apply the same model to all users.
③Recommend only items that are popular in user votes.
④Completely randomize recommendations and stop personalization.
⑤Abolish the algorithm and create recommendations manually.