Weifeng Zhong on Machine Learning and the Policy Change Index

On this episode of Virtual Sentiments, Kristen interviews Weifeng Zhong of the Mercatus Center on his work with the Policy Change Index (PCI), a series of open-source machine learning projects that predict authoritarian regimes’ major policy moves by “reading” their propaganda publications. Weifeng explains how his shocking revelation about the Tianneman Square massacre inspired him to create the PCI and details the ways in which it has evolved over the years, particularly as a means of "watching the watchers." Additionally, he gives a brief overview of China's recent policy changes, specifically concerning when its liberalization began to reverse course. Later, Kristen and Weifeng discuss the problems associated with machine learning algorithms, including whether bias is an automatic part of any machine learning process, and talk about what can be done to mitigate the current problems associated with machine learning.

Learn more about the Policy Change Index here.

Read more work from Weifeng Zhong.

Read more work from Kristen Collins.

If you like the show, please leave a 5-star review for us on Apple Podcasts and tell others about the show! We're available on Apple Podcasts, Spotify, Stitcher, and wherever else you get your podcasts.

Follow the Hayek Program on Twitter: @HayekProgram

Learn more about Academic & Student Programs

Follow the Mercatus Center on Twitter: @mercatus