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I think that was discussed on Hacker News. In order to truly understand a model, the training data is required. A bag of weights can't really be reasoned with on a sufficiently complex ANN model.

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The paper shows that on specific kinds of models even knowing the training data doesn’t help (whitebox backdoor).

1. Person can not tell you they are lying if they think they tell the truth

2. To fully understand a person you need to know their history

Are you arguing that we should upgrade 'corporations are people' to 'algorthms are people' and then twitter newsfeed can have rights?

They have rights. When a person makes a mistake on twitter thier feeds are turned off. Algorthms make thousanda, millions, of horrible mistakes every day but are allowed to continue.

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