Data’s day of reckoning
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
Five framing guidelines to help you think about building data products.
Oaths have their value, but checklists will help put principles into practice.
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
DJ Patil and Lynn Overmann offer a look at how data science and open data are put to use by the White House.
These studies provide a foundation for discussing ethical issues so we can better integrate data ethics in real life.
U.S. Chief Data Scientist DJ Patil reflects on data, government, and citizens.
Data science teams need people with the skills and curiosity to ask the big questions.
To succeed with data, businesses must develop a data culture.
DJ Patil details a new approach to solving data problems: use a problem's "weight" against itself.