Big Data

Removing human bias from predictive modeling

Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them. 

Penn Today Staff

Can artificial intelligence help answer HR’s toughest questions?

Wharton's Peter Cappelli and Prasanna Tambe discuss the challenges companies face when they outsource their Human Resources departments to AI, allowing algorithms to remedy imperfect human decision-making for hiring, firing, scheduling, and promoting.

Penn Today Staff

Crowdsourcing 10,000 years of land use

More than 250 archaeologists from around the world contributed their knowledge to ArchaeoGLOBE, an effort to better understand the prevalence of agriculture, pastoralism, and hunting and gathering at different points in human history.

Michele W. Berger