Can AI be used to bust dopers?

This you, OP?:

Image:img-lb.fireden.net/co/image/1460/27/14...

The model:

1. Must be able to differtiate women from men

2. Must be able to recognize over pronounced obliques in women,

3. Must be able to establish social linkages with those on the darkside

4. Must predict blameshifting and other items of interest (burritos, bad trainers, etc.)

They already do this with the biological passports. You have a bunch of training data of people who are not doping, recorded periodically over some period of time.

They then use this to benchmark the actual testing pool, to identify irregularities between tests which were not observed to occur in the training population.

Why don't you ask AI why people are so ready to believe that drugs can give superhuman metabolism?

As an AI language model, I am not capable of physically collecting or
analyzing biological samples, a fundamental part of detecting dopers.
Also, the accurate interpretation of any digitized data about such
samples would be complicated by the need to account for individual
physiological differences and the presence of potentially unknown
substances. Therefore, using AI to identify individuals using
performance-enhancing substances has significant practical, ethical, and
legal limitations.

I think it would be a great way to easily and cheaply narrow down a pool of masters runners who should be randomly tested. Results from up to 10 years could spot patterns of masters runners who are outliers in based on typical slowing.

I think we should save a lot of time and money and do away with jurors in criminal trials. Just type the minutes from the trial into an AI program and get the verdict in seconds. Hell, spare me the judge too - leave it to the AI to serve justice however it sees fit.

Exactly.

They're the same numbskulls who think clot shots will save them from an imaginary virus that's never been proven to exist.