

The power of data: ethics, politics, and public interest
May 8, 2025
Chris Wiggins, an applied mathematics professor and chief data scientist at the New York Times, discusses the evolution of data and its impact on truth perception. Alison Powell from LSE highlights ethical practices in data and AI, urging for responsible governance in tech. Erin Young brings attention to corporate responsibility and the need for diversity in data science. Together, they explore how data influences power dynamics and the importance of collaborative approaches to ethical practices in a rapidly changing technological landscape.
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Statistics Shape Societal Biases
- The history of statistics reveals its role in shaping societal biases.
- Concepts like eugenics were intertwined with early statistical methods, impacting data's cultural context.
Computing’s Gendered Wartime Roots
- Digital computation began as a wartime innovation affecting data's scale and labor.
- Gender divisions influenced early data work roles, such as in WWII programming.
Privacy in Data Is Complex
- Privacy in data is complex and removing names doesn’t ensure anonymity.
- Cross-referencing fields like zip code and birth date can re-identify individuals.