Sentence examples for Fairness in data from inspiring English sources

Adjusting to algorithmic society motivates a number of lines of empirical research: algorithmic accountability, reverse engineering "algorithmic black boxes" to improve transparency, building "interpretable" machine learning algorithms and systems, and fairness in data mining.

We will also investigate how to formulate the notion of fairness in data analysis mathematical.

Note that this approach jointly considers fairness in data rates as well as in total transmit powers.

In Section 4, we discuss how fairness in data transfer to RSU for individual node can be ensured.

Also, note that instead of putting a fairness term in transmit powers, we can also choose a fairness term in data rates, i.e., G n (R n ) to enforce fairness over data rates if desired.

In fairness, Primary Data and other data virtualization upstarts face an increasingly daunting uphill battle, as virtualization giants like Dell's VMware have continued to grow stronger and the data storage market more broadly continues to consolidate.

The inclusion of fairness comes with a price in data rate performance.

"You have to do your homework as a company to think about fairness," said Elizabeth Denham, when asked 'who decides what's fair' in a data ethics context.

We have many efforts at Google and research collaboration around this question of fairness in machine learning and unbiased data".

A good candidate is a measure that jointly considers power and data rate fairness in its definition and is designed for the considered specific case of greening in interference-limited networks.

Well intentioned privacy advocates and academics are making a new demand that companies disclose their complex computer codes for making choices for and about consumers – so called "algorithmic transparency". The idea behind the request, ensuring fairness in the outcomes of companies' data analytics, is noble.