Data-Driven, Information-Enabled Regulatory Delivery:
Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts under...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2021
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Zusammenfassung: | Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts undertaken jointly by the OECD and Italian regulators to develop and use artificial intelligence and machine learning tools in regulatory inspections and enforcement. It provides unique insights into the background processes and structures required for digital tools to perform predictive modelling, risk analysis and classification. It also highlights the challenges such tools bring, both in specific regulatory areas and to the broader goals of regulatory systems |
| Beschreibung: | 1 Online-Ressource (37 Seiten) 21 x 28cm |
| ISBN: | 9789264805118 9789264713093 9789264503939 |
| DOI: | 10.1787/8f99ec8c-en |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:34:54Z |
| indexdate | 2024-12-18T19:02:01Z |
| institution | BVB |
| isbn | 9789264805118 9789264713093 9789264503939 |
| language | English |
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| oclc_num | 1312711007 |
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| physical | 1 Online-Ressource (37 Seiten) 21 x 28cm |
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| spelling | Data-Driven, Information-Enabled Regulatory Delivery Organisation for Economic Co-operation and Development Paris OECD Publishing 2021 1 Online-Ressource (37 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts undertaken jointly by the OECD and Italian regulators to develop and use artificial intelligence and machine learning tools in regulatory inspections and enforcement. It provides unique insights into the background processes and structures required for digital tools to perform predictive modelling, risk analysis and classification. It also highlights the challenges such tools bring, both in specific regulatory areas and to the broader goals of regulatory systems Science and Technology Governance Italy https://doi.org/10.1787/8f99ec8c-en Verlag kostenfrei Volltext |
| spellingShingle | Data-Driven, Information-Enabled Regulatory Delivery Science and Technology Governance Italy |
| title | Data-Driven, Information-Enabled Regulatory Delivery |
| title_auth | Data-Driven, Information-Enabled Regulatory Delivery |
| title_exact_search | Data-Driven, Information-Enabled Regulatory Delivery |
| title_exact_search_txtP | Data-Driven, Information-Enabled Regulatory Delivery |
| title_full | Data-Driven, Information-Enabled Regulatory Delivery Organisation for Economic Co-operation and Development |
| title_fullStr | Data-Driven, Information-Enabled Regulatory Delivery Organisation for Economic Co-operation and Development |
| title_full_unstemmed | Data-Driven, Information-Enabled Regulatory Delivery Organisation for Economic Co-operation and Development |
| title_short | Data-Driven, Information-Enabled Regulatory Delivery |
| title_sort | data driven information enabled regulatory delivery |
| topic | Science and Technology Governance Italy |
| topic_facet | Science and Technology Governance Italy |
| url | https://doi.org/10.1787/8f99ec8c-en |