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>>All ethical guidelines are, in some sense, arbitrary, but the one that says one should try to treat people equally is a pretty good one If the software has a

>>All ethical guidelines are, in some sense, arbitrary, but the one that says one should try to treat people equally is a pretty good one If the software has a less than 100% success rate, then it does not treat people equally. What you're actually arguing is that inequality between ethnic/racial/gender groups is more important to eliminate than inequality between other groups. And the fact that you keep calling my argument tendentious is thoroughly intolerant and unconstructive. I see my position as a completely reasonable response to the topic at hand, and just because you have a different view on the issue, you attack my motives. >>because your arguments are just armchair pedantry, devoid of real-world relevance. You realize that trying to ridicule and demean people like this is a terrible way to address views you disagree with, right? Please don't act like this.

mannykannot 8y ago
Well, I have given you the benefit of the doubt as to your motives here, and I continue to do so, because I will also assume that you think you are making a good argument. > What you're actually arguing is that inequality between ethnic/racial/gender groups is more important to eliminate than inequality between other groups. What I am actually arguing is for dealing with bias wherever we find it, and against your position that this is invalidated by possible existence of other biases, no matter how small, and even though they continue to be hypothetical. As I wrote in an earlier post, "if you have any actual evidence that the other groups you name are being measurably affected, make your data known, so we can make corrections in those cases as well." You have consistently failed to show any real-world evidence for your position. Ethics is primarily a matter of what people do in response to real-world situations, not some sort of hypothetical trolley problem from an intro. to philosophy course. Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, and your insistence that maximizing the number of lives saved being the only justification for expenditure, only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further. It is also rather telling that you seem to think that a noticeable bias with regard to gender, of all things, would be some sort of corner case (not that ethnicity and race are small issues, globally, either.) As for your excuses, in the other thread, for not showing evidence, well, evidence exists in the cases in question, so I will continue to regard your argument as a hypothetical one.
- CryptoPunk 8y ago
  >>What I am actually arguing is for dealing with bias wherever we find it, and against your position that this is invalidated by possible existence of other biases, no matter how small, and even though they continue to be hypothetical. The most efficient way to reduce all of what you call "biases", which are simply imperfections, is to reduce the total error rate. Prioritizing the error rate of one subset of the whole will be less efficient at reducing the total error rate, and that's what you do when you identify a disadvantaged group and change the development focus from reducing the total error rate to reducing the error rate for their subset. >>You have consistently failed to show any real-world evidence for your position. I've already addessed this argument. Repeating myself: I can't show real world numbers when the phenomenon in question can't have controlled experiments run on it, and I don't need to show real world numbers to make a case for the logical soundness of a principle, in this case the principle that prioritizing improvement of a metric other than overall performance will generally lead to less overall performance improvements than not doing so. >>Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, What are you referring to? >>and your insistence that maximizing the number of lives saved being the only justification for expenditure, only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further. Again I don't know what you're referring to. What do you mean when you say "only so far as it justifies [not focusing on reducing gender/racial disparities]"? You're alleging that my motivation for promoting the objective of maximizing the number of lives saved is to prevent action to reduce gender/racial disparities?
  - mannykannot 8y ago
    >> Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, > What are you referring to? It is rather surprising that you claim not to follow here, but here's just one example: >> All ethical guidelines are, in some sense, arbitrary, but the one that says one should try to treat people equally is a pretty good one > If the software has a less than 100% success rate, then it does not treat people equally. As your quote is presented as a response to mine, the argument you are making here is that if the software has a less than 100% success rate, then trying to treat people equally is pointless. > Again I don't know what you're referring to. What do you mean when you say "only so far as it justifies [not focusing on reducing gender/racial disparities]"? Firstly, rewriting a quote is fraught with problems, especially when the actual words are just as easy to quote, and even more so as you had just quoted them accurately. In this case, they are "only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further." To give an example, you write "the objective should be to maximize the number of lives that are saved with the resources available", but your position only goes so far as to do nothing about this particular case, and has not been extended to its logical conclusion, which is to redirect all expenditure on facial recognition to more cost-effective lifesaving measures. >> You have consistently failed to show any real-world evidence for your position. > I've already addressed this argument. Repeating myself:... Repeating yourself does not somehow nullify my response to its first appearance, which was to point out that there is good evidence for bias in the case of ethnicity, race and gender, but we are seeing no evidence whatsoever for the sort of confounding problems that you make up in your so-called "thought experiment". Your claim that you don't need to show evidence, because you have an argument in principle, leaves your position wide open to the criticisms of being unrealistic and pedantic. > Prioritizing the error rate of one subset of the whole will be less efficient at reducing the total error rate. Given the frequency that the law of diminishing returns is a factor, that is not nearly the given you think it is. Let's consider some examples of how your point of view would play out. For example, there was recent fatal crash that revealed a corner case in Tesla's vision system, and other crashes that have revealed problems with Boeing's MCAS system. By your argument, it would necessarily be counterproductive to do anything that attempted to mitigate either of these issues specifically. I say 'necessarily' because if it were a contingent matter, then it would be inconsistent with your claim that you don't have to show evidence for your principle being realistic.

mannykannot 8y ago

Well, I have given you the benefit of the doubt as to your motives here, and I continue to do so, because I will also assume that you think you are making a good argument. > What you're actually arguing is that inequality between ethnic/racial/gender groups is more important to eliminate than inequality between other groups. What I am actually arguing is for dealing with bias wherever we find it, and against your position that this is invalidated by possible existence of other biases, no matter how small, and even though they continue to be hypothetical. As I wrote in an earlier post, "if you have any actual evidence that the other groups you name are being measurably affected, make your data known, so we can make corrections in those cases as well." You have consistently failed to show any real-world evidence for your position. Ethics is primarily a matter of what people do in response to real-world situations, not some sort of hypothetical trolley problem from an intro. to philosophy course. Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, and your insistence that maximizing the number of lives saved being the only justification for expenditure, only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further. It is also rather telling that you seem to think that a noticeable bias with regard to gender, of all things, would be some sort of corner case (not that ethnicity and race are small issues, globally, either.) As for your excuses, in the other thread, for not showing evidence, well, evidence exists in the cases in question, so I will continue to regard your argument as a hypothetical one.

CryptoPunk 8y ago
>>What I am actually arguing is for dealing with bias wherever we find it, and against your position that this is invalidated by possible existence of other biases, no matter how small, and even though they continue to be hypothetical. The most efficient way to reduce all of what you call "biases", which are simply imperfections, is to reduce the total error rate. Prioritizing the error rate of one subset of the whole will be less efficient at reducing the total error rate, and that's what you do when you identify a disadvantaged group and change the development focus from reducing the total error rate to reducing the error rate for their subset. >>You have consistently failed to show any real-world evidence for your position. I've already addessed this argument. Repeating myself: I can't show real world numbers when the phenomenon in question can't have controlled experiments run on it, and I don't need to show real world numbers to make a case for the logical soundness of a principle, in this case the principle that prioritizing improvement of a metric other than overall performance will generally lead to less overall performance improvements than not doing so. >>Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, What are you referring to? >>and your insistence that maximizing the number of lives saved being the only justification for expenditure, only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further. Again I don't know what you're referring to. What do you mean when you say "only so far as it justifies [not focusing on reducing gender/racial disparities]"? You're alleging that my motivation for promoting the objective of maximizing the number of lives saved is to prevent action to reduce gender/racial disparities?
- mannykannot 8y ago
  >> Your argument is tendentious in the way it arbitrarily takes certain fixed positions, such as the above insistence on not doing anything unless you can guarantee 100% success, > What are you referring to? It is rather surprising that you claim not to follow here, but here's just one example: >> All ethical guidelines are, in some sense, arbitrary, but the one that says one should try to treat people equally is a pretty good one > If the software has a less than 100% success rate, then it does not treat people equally. As your quote is presented as a response to mine, the argument you are making here is that if the software has a less than 100% success rate, then trying to treat people equally is pointless. > Again I don't know what you're referring to. What do you mean when you say "only so far as it justifies [not focusing on reducing gender/racial disparities]"? Firstly, rewriting a quote is fraught with problems, especially when the actual words are just as easy to quote, and even more so as you had just quoted them accurately. In this case, they are "only so far as it justifies (in your view) doing nothing in the case of ethnicity, race and gender, but no further." To give an example, you write "the objective should be to maximize the number of lives that are saved with the resources available", but your position only goes so far as to do nothing about this particular case, and has not been extended to its logical conclusion, which is to redirect all expenditure on facial recognition to more cost-effective lifesaving measures. >> You have consistently failed to show any real-world evidence for your position. > I've already addressed this argument. Repeating myself:... Repeating yourself does not somehow nullify my response to its first appearance, which was to point out that there is good evidence for bias in the case of ethnicity, race and gender, but we are seeing no evidence whatsoever for the sort of confounding problems that you make up in your so-called "thought experiment". Your claim that you don't need to show evidence, because you have an argument in principle, leaves your position wide open to the criticisms of being unrealistic and pedantic. > Prioritizing the error rate of one subset of the whole will be less efficient at reducing the total error rate. Given the frequency that the law of diminishing returns is a factor, that is not nearly the given you think it is. Let's consider some examples of how your point of view would play out. For example, there was recent fatal crash that revealed a corner case in Tesla's vision system, and other crashes that have revealed problems with Boeing's MCAS system. By your argument, it would necessarily be counterproductive to do anything that attempted to mitigate either of these issues specifically. I say 'necessarily' because if it were a contingent matter, then it would be inconsistent with your claim that you don't have to show evidence for your principle being realistic.