Artwork

コンテンツは KickBack - The Global Anticorruption Podcast によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、KickBack - The Global Anticorruption Podcast またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal
Player FM -ポッドキャストアプリ
Player FMアプリでオフラインにしPlayer FMう!

80. Mihaly Fazekas on corruption risks in public procurement and the potential of new technologies

43:50
 
シェア
 

Manage episode 333661530 series 2538785
コンテンツは KickBack - The Global Anticorruption Podcast によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、KickBack - The Global Anticorruption Podcast またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal
We welcome Mihaly Fazekas, assistant professor at the Central European University, Department of Public Policy, who works on a range of topics related to corruption. The interview covers how how his own personal experience with bad public infrastructure inspired him to conduct corruption research, why he believes that corruption research would benefit from a better understanding of what are actually ymeasuring when we study corruption and the importance of investigative journalism (for example the invesgtative journalism center direct36; https://www.direkt36.hu/en/). Mihaly then makes a compelling pitch why public procurement offers a relevant and interesting subject for corruption researchers. The enf of the interview deals with the intersection between big data, technology and corruption, such as whether new corruption risks emanate from Artificial Intelligence and how AI conversely might be used to fight corruption. Concrete examples mentioned: the e-procurement portal Dozorro in Ukraine: https://oecd-opsi.org/innovations/dozorro/ Mihaly’s pick of the podcast: the classic computer game civilization II: https://civilization.com/de-DE/civilization-2/ Further reading on AI and anti-corruption: Fazekas, M., & Kocsis, G. (2020). Uncovering high-level corruption: cross-national objective corruption risk indicators using public procurement data. British Journal of Political Science, 50(1), 155-164. https://www.cambridge.org/core/journals/british-journal-of-political-science/article/uncovering-highlevel-corruption-crossnational-objective-corruption-risk-indicators-using-public-procurement-data/8A1742693965AA92BE4D2BA53EADFDF0 Abdou, A., Basdevant, O., David-Barrett, E., & Fazekas, M. (2022). Assessing Vulnerabilities to Corruption in Public Procurement and Their Price Impact. IMF Working Papers, 2022(094). https://www.elibrary.imf.org/view/journals/001/2022/094/article-A001-en.xml Adam, I., & Fazekas, M. (2021). Are emerging technologies helping win the fight against corruption? A review of the state of evidence. Information Economics and Policy, 57, 100950. https://www.sciencedirect.com/science/article/pii/S016762452100038X Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4(5), 418-424. https://www.nature.com/articles/s42256-022-00489-1.epdf?sharing_token=EdeuqUBk2oKscPxws-8D8tRgN0jAjWel9jnR3ZoTv0MSvwdFseOcM6qa-7nxQYsZYARiqghH2fBcU3_YVcnprrGjCkjAT_ckOEcdYz5UF1qnHidcuHymvw9CuowLifDJHoE1fGJ8XeL2AP-YJttRiF8JbxMcwgUWCUAzAK5ZbBE%3D
  continue reading

120 つのエピソード

Artwork
iconシェア
 
Manage episode 333661530 series 2538785
コンテンツは KickBack - The Global Anticorruption Podcast によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、KickBack - The Global Anticorruption Podcast またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal
We welcome Mihaly Fazekas, assistant professor at the Central European University, Department of Public Policy, who works on a range of topics related to corruption. The interview covers how how his own personal experience with bad public infrastructure inspired him to conduct corruption research, why he believes that corruption research would benefit from a better understanding of what are actually ymeasuring when we study corruption and the importance of investigative journalism (for example the invesgtative journalism center direct36; https://www.direkt36.hu/en/). Mihaly then makes a compelling pitch why public procurement offers a relevant and interesting subject for corruption researchers. The enf of the interview deals with the intersection between big data, technology and corruption, such as whether new corruption risks emanate from Artificial Intelligence and how AI conversely might be used to fight corruption. Concrete examples mentioned: the e-procurement portal Dozorro in Ukraine: https://oecd-opsi.org/innovations/dozorro/ Mihaly’s pick of the podcast: the classic computer game civilization II: https://civilization.com/de-DE/civilization-2/ Further reading on AI and anti-corruption: Fazekas, M., & Kocsis, G. (2020). Uncovering high-level corruption: cross-national objective corruption risk indicators using public procurement data. British Journal of Political Science, 50(1), 155-164. https://www.cambridge.org/core/journals/british-journal-of-political-science/article/uncovering-highlevel-corruption-crossnational-objective-corruption-risk-indicators-using-public-procurement-data/8A1742693965AA92BE4D2BA53EADFDF0 Abdou, A., Basdevant, O., David-Barrett, E., & Fazekas, M. (2022). Assessing Vulnerabilities to Corruption in Public Procurement and Their Price Impact. IMF Working Papers, 2022(094). https://www.elibrary.imf.org/view/journals/001/2022/094/article-A001-en.xml Adam, I., & Fazekas, M. (2021). Are emerging technologies helping win the fight against corruption? A review of the state of evidence. Information Economics and Policy, 57, 100950. https://www.sciencedirect.com/science/article/pii/S016762452100038X Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4(5), 418-424. https://www.nature.com/articles/s42256-022-00489-1.epdf?sharing_token=EdeuqUBk2oKscPxws-8D8tRgN0jAjWel9jnR3ZoTv0MSvwdFseOcM6qa-7nxQYsZYARiqghH2fBcU3_YVcnprrGjCkjAT_ckOEcdYz5UF1qnHidcuHymvw9CuowLifDJHoE1fGJ8XeL2AP-YJttRiF8JbxMcwgUWCUAzAK5ZbBE%3D
  continue reading

120 つのエピソード

Tất cả các tập

×
 
Loading …

プレーヤーFMへようこそ!

Player FMは今からすぐに楽しめるために高品質のポッドキャストをウェブでスキャンしています。 これは最高のポッドキャストアプリで、Android、iPhone、そしてWebで動作します。 全ての端末で購読を同期するためにサインアップしてください。

 

クイックリファレンスガイド