we prefer to call it ‘synthesized’
https://www.youtube.com/watch?v=t4stmN0noRI&list=UU9rJrMVgcXTfa8xuMnbhAEA - video
https://pivottoai.libsyn.com/20250914-medical-research-ethics-is-hard-fake-ai-data-is-easy - podcast
time: 4 min 34 sec
we prefer to call it ‘synthesized’
https://www.youtube.com/watch?v=t4stmN0noRI&list=UU9rJrMVgcXTfa8xuMnbhAEA - video
https://pivottoai.libsyn.com/20250914-medical-research-ethics-is-hard-fake-ai-data-is-easy - podcast
time: 4 min 34 sec
Can’t see how this doesn’t defeat the purpose, if you have a mock data generator of sufficient fidelity you already have a well-defined mechanism to describe the data, shouldn’t you be using that instead of developing a new model to capture the characteristics of the model that creates those characteristics?