Product Payoffs in Machine Learning – Zetta Venture Partners – Medium

Uber's cars are crashing, Microsoft's bots abusing people on twitter and US judges sentencing people using biased algorithms. That is, machine learning models rely on probabilistic assumptions because they're trying to model things that are uncertain. Probabilistic assumptions don't always hold, so the models don't always work. We should keep this in mind when building machine learning products so that we meet the expectations of our customers, at best, and avoid the unchecked use of machine learning in high-stakes situations, at worst. We may elaborate on the latter topic in a future article.