Activity

Correlations made by big data are likely to reinforce negative bias. Because big data often relies on historical data or at least the status quo, it can easily reproduce discrimination against disadvantaged racial and ethnic minorities. The propensity models used in many algorithms can bake in a bi…

Who owns the data is as important a question as who owned the land during the agricultural age and who owned the factory during the industrial age. Data is the raw material of the information age.

Serendipity fades with everything we hand over to algorithms. Most of these algorithms are noiseless. They gently guide us in our choices. But we don't know why we are being guided in certain directions or how these algorithms work. And because they constitute the value of a company's intellectual …

Precision agriculture will not end hunger in India or turn its subsistence-level farmers into serious agribusinesses, but in an environment of scarcity, it can take those scarce resources, be they seed, fertilizer, or water, and get the most out of them. India does not have a national network of ag…

[...] annual losses to intellectual property theft from China exceed $300 billion, comparable to the total amount of goods exported annually from the United States to all of Asia. The NSA director at the time, Keith Alexander, has estimated the total value of all American intellectual property at $…