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> wouldn’t algorithmic decisions be preferable to biased human judgement? At this moment? Big NO. Algorithms - are programmed by humans - trained on past dat

> wouldn’t algorithmic decisions be preferable to biased human judgement? At this moment? Big NO. Algorithms - are programmed by humans - trained on past data (which by definition includes all the "isms") - have a gajillion corner cases in which they perform hilariously bad - don't understand the data they are processing so they can't reason something must be garbage in How's that Amazon recommendation system working out for you compared to a human recommendation? That's the current state of the art algorithm on a very simple problem.

thebean11 5y ago
I kind of doubt Amazon's algorithm even uses machine learning, it probably assigns a score based on perf metrics (using a human-written algorithm), then fires employees below some cutoff.
thefounder 5y ago
Do you really need an AI to measure the performance(i.e require training as you said) ? I thibk a dumb counter would do the job.
- playpause 5y ago
  Who mentioned AI?
  - thefounder 5y ago
    What is "- trained on past data (which by definition includes all the "isms")" supposed to mean?
mc32 5y ago
>” trained on past data (which by definition includes all the "isms")” Is that necessarily so? Can’t they measure more objective data points like deliveries per hour, missdeliveries, mishandled/broken items (controlled for traffic, pop density, data from deliveries to similar areas, etc) rather than other things like “doesn’t get along with boss:peers, has bad breath, does cat-calls, etc? Now, I admit this has too much Taylorism in it. To much of squeezing the last drop out of people, but I don’t think it has more soft bias.
- MontyCarloHall 5y ago
  > Can’t they measure more objective data points like deliveries per hour, missdeliveries, mishandled/broken items (controlled for traffic, pop density, data from deliveries to similar areas, etc) rather than other things like “doesn’t get along with boss:peers, has bad breath, makes cat-calls, etc. In principle this sounds great. In practice, there are so many other edge case variables that an algorithm cannot control for (but a human manager can). Some amount of discretion is required when enforcing rules, which an algorithm is incapable of.

thebean11 5y ago

I kind of doubt Amazon's algorithm even uses machine learning, it probably assigns a score based on perf metrics (using a human-written algorithm), then fires employees below some cutoff.

thefounder 5y ago

Do you really need an AI to measure the performance(i.e require training as you said) ? I thibk a dumb counter would do the job.

playpause 5y ago
Who mentioned AI?
- thefounder 5y ago
  What is "- trained on past data (which by definition includes all the "isms")" supposed to mean?

mc32 5y ago

>” trained on past data (which by definition includes all the "isms")” Is that necessarily so? Can’t they measure more objective data points like deliveries per hour, missdeliveries, mishandled/broken items (controlled for traffic, pop density, data from deliveries to similar areas, etc) rather than other things like “doesn’t get along with boss:peers, has bad breath, does cat-calls, etc? Now, I admit this has too much Taylorism in it. To much of squeezing the last drop out of people, but I don’t think it has more soft bias.

MontyCarloHall 5y ago
> Can’t they measure more objective data points like deliveries per hour, missdeliveries, mishandled/broken items (controlled for traffic, pop density, data from deliveries to similar areas, etc) rather than other things like “doesn’t get along with boss:peers, has bad breath, makes cat-calls, etc. In principle this sounds great. In practice, there are so many other edge case variables that an algorithm cannot control for (but a human manager can). Some amount of discretion is required when enforcing rules, which an algorithm is incapable of.