Paris, 13-14 January 2020, Twitter: #GovInnovation2020
An event co-organised by the Public Governance and the Science, Technology and Innovation directorates, with the support of the Japanese Ministry of Economy, Trade and Industry
Technological changes affect societies and economies in many ways, including via new means of communication and collaboration; new products that feature a strong service component; data as a driver of economic growth; the automation of tasks with artificial intelligence; and the emergence of new business models such as online platforms.
The 2019 G20 Ministerial Statement on Trade and Digital Economy recognised that “harnessing the full potential of emerging technologies would benefit from more innovation enabling approaches to policy making than in the past” and that “governance in the digital era needs to be not only innovation-friendly but also innovative itself, while not losing legal certainty. Interoperable standards, frameworks and regulatory cooperation can help in this regard”. In line with this statement, there is a need for well-adapted and innovative regulatory policy and governance approaches to help reconcile the effectiveness and innovation-friendliness of laws and regulations for the fourth industrial revolution.
Conference objectives
The main goals were to exchange information on the need for and experience with governance innovation in the context of different sectors and different countries, both within and outside of the OECD, and to inform future OECD work.
Day 1 |
Agile regulatory frameworks |
09:00-10:00 |
Opening Session |
10.00-11.30 |
Session 1. Anticipatory regulatory policy and governance approaches |
12.00-13.30 |
Session 2. Outcome-focused governance and regulatory approaches |
15.00-16.30 |
Session 3. Experimental governance and regulatory approaches |
17.00-18.30 |
Session 4. Adressing the transboundary challenges raised by emerging technologies |
Day 2 |
Using new technologies to achieve better outcomes and accountability |
9.30-11.00 |
Session 5. Improving compliance through data and AI What are the values of data and algorithms in compliance? What risks should be monitored in what time scale and how? How can governments seize the opportunities offered by digital technologies such as real-time monitoring and AI-driven decision making to improve enforcement activities? |
11.30-13.00 |
Session 6. How do we manage liability and accountability in an AI-driven world? |
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