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mkrum

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Who gets to decide whats "socially/morally net positive"? Every company thinks they're "socially/morally net positive", which at best happens by accident. If you want to help people, join a non-profit, don't buy into some company's PR. Companies chase money, thats the point of a company.

If you are going to "debias" your model, what is the point of even training the model to handle these issues in the first place? Not surprisingly, human language can be biased. If you train a model on human language it will not magically transcend those biases. The problem is that people have this expectation that ML is going to lead to these perfect decision makers.

Machine Learning creates models that reflect the data, not the truth.

I remember a story a professor once told me about something similar to this. He once knew of a research team that was trying to develop an algorithm to tell the difference between pictures of American and Russian tanks. They were able to achieve a very high success rate very quickly. Excited but skeptical, they decided to keep testing the algorithm on lower and lower resolution photos. Shockingly, they were still getting close to 100% identification on images of sizes around 10 by 10.

Turns out, all the pictures of Russian tanks were taken in the winter, while all the american ones were taken in the summer. All they had done was trained a model to classify how bright the picture was.

Just Say No 9 years ago

I definitely think thats a more realistic example of the things that might happen. It won't be the shady guy on the street corner, it'll be your boss asking you to do just one little thing.

  Location: Chicago, IL
  Remote: Yes
  Willing to relocate: Yes
  Technologies: C++/C, Python, Caffe, TensorFlow
  Résumé/CV: https://mkrum.github.io/resume_latex.pdf
  Email: mrkrumdick@gmail.com
Student, looking for internship summer of 2016. Research experience and passion in machine learning/deep learning