When Humans Need to Answer Tough Questions About Data

Data science and machine learning professionals now how to seek answers in data: that’s probably the central pillar of their work. Things get murkier when we look at some of the thornier issues surrounding our data, from its built-in biases to the ways it can be leveraged for questionable ends.

As we enter the final stretch of the year, we invite our readers to explore some of these big-picture issues that have sparked crucial discussions in recent years, and are …

bias biases data data data data science humans look machine machine learning professionals questions science tds-features the-variable towards-data-science work