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Putting aside the topic of how easy is it to understand a trained ML model, I really hope we won't end up in a SEO-like situation.
by gerland 6y ago
Putting aside the topic of how easy is it to understand a trained ML model, I really hope we won't end up in a SEO-like situation.
- umvi 6y ago> Putting aside the topic of how easy is it to understand a trained ML model, I wouldn't say it's easy to understand a trained ML model. If you don't have access to it, it's a black box that can be hard to penetrate. But if you do have access to it, it's fairly easy to figure out how to trick it into doing what you want. Example scenario: in a dystopian 2030 America, judges are replaced by ML models where you just input a bunch of parameters and the model spits out the judgment. Soon: Divorced Husband: "Why do you keep calling the non-emergency police line to concern troll?" Divorced Wife: "So the ML judge will give me custody of the kids" (number of calls to police as an input to ML model is being gamed to alter outcome in one party's favor)
- TheOtherHobbes 6y agoYou've just invented a new service industry: AILegal, a combination of legal expertise to play the human side, and ML expertise to play the machine side. Probably available by subscription for a monthly fee that corresponds to the probability of a positive result.
- lliamander 6y agoThe court system will likely retain the use of human judges. More likely this would be used as a cheaper means of arbitration.
- lliamander 6y agoThe Anglo-American common law system, by virtue of its emphasis on legal precedent as a way of shaping law, is a sort of trained ML model, implemented in a social institution.
- p_l 6y agoThis explains so much