AI Struggles to Unmask Corruption's Hidden, Scarce Data
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Resources & Recommendations
Articles & Papers
- "Article Title (not specified in transcript)" (American Business Law Journal) - This article, written by Philip Nichols, questions the efficacy of AI in anti-corruption efforts for countries and agencies globally.
People Mentioned
- Philip Nichols (Professor of Legal Studies and Business Ethics at the Wharton School) - He was interviewed in the podcast about his research and article on AI and corruption.
Other Resources
- Panama Papers - Referenced as an example of a corruption incident that generated massive amounts of data, which AI could potentially analyze.
- Pandora Leaks - Referenced as an example of a corruption incident that generated massive amounts of data, which AI could potentially analyze.
- Siemens - Mentioned as a large firm that experienced corruption incidents yielding massive amounts of data, where AI could be useful.
- Walmart - Mentioned as a large firm that experienced corruption incidents yielding massive amounts of data, where AI could be useful.
- Adhar in India - Highlighted as an example of technology (digital platform infrastructure) that has significantly reduced low-level corruption and increased access to government distributions at the village level.
- Digital IDs in Estonia - Cited as an example of a country that, from the ground up, implemented digital IDs, which opened up many possibilities for working with technology, including AI.