Learn More Today algorithms can shape what you buy ... for some people that might be where they draw the line and walk away. For somebody else maybe that’s okay, but maybe they draw a line ...

Researchers often talk about “auditing” and “reverse engineering” algorithms—activities requiring heavy data analysis. But algorithmic accountability reporting projects don’t have to be this way.

That might not have major societal ramifications for a drawing of a radish, but algorithmic bias has already begun to show up in algorithms that have powered crucial decisions such as predicting ...

This is where recommendation algorithms struggle most: they have to draw the most accurate conclusions possible based on sparse data. For example, to give User 1 a recommendation, you could try to ...