The Price of Privacy: Can We Build Fair and Unbiased Data Markets?
In today’s digital economy, personal data powers everything — yet users often remain uncompensated and unaware of how their information is used.
In this episode of FinTechLah, Professor Jungpil Hahn and Dr. Nicholas Garcia discuss a recent paper published in Information Systems Research that rethinks how online data markets operate. The study proposes an algorithmic mechanism that balances privacy, fairness, and cost—allowing platforms to reward users for their data while reducing bias in samples.
They share their reflections on how this approach challenges the status quo of data monetization and what it reveals about the trade-offs between privacy, compensation, and data quality.
Read the open access paper at: https://doi.org/10.25300/MISQ/2024/18039
Discover the FinTechLah series on Spotify at: FinTechLah podcast
Speakers for the Podcast
Prof.Jungpil Hahn
