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Publications & Documents


  • 31-May-2023

    English, PDF, 682kb

    Technology deep dives: Synthetic biology (policy brief)

    From alternative protein sources to rapid vaccine development, synthetic biology can address global challenges and transform industries. But are current governance frameworks up to the task?

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  • 31-May-2023

    English, PDF, 751kb

    Technology deep dives: Immersive technologies (policy brief)

    Immersive tech can blur digital and physical experiences and transform reality. From problem-solving prototypes to safer training methods, this tech has great potential but also raises sizeable privacy and security concerns.

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  • 17-May-2023

    English

    Digital Skills for Private Sector Competitiveness in Uzbekistan

    Since 2019, digital transformation has been a clear policy priority in Uzbekistan. While the country has made significant progress in terms of Internet access, quality and affordability, digital uptake among firms remains low. This lack of digital skills seems to be a limiting factor affecting the digital transformation of business. Based on recent OECD work on digitalisation, this report examines what is holding back the digital upskilling of businesses in Uzbekistan. It suggests three sets of policy actions: (1) developing a supportive institutional framework for the digital uptake of firms; (2) raising firms’ awareness of the importance of acquiring digital and complementary skills; and (3) expanding existing support to digitalise while addressing the gender digital divide.
  • 17-May-2023

    English

    Improving Framework Conditions for the Digital Transformation of Businesses in Kazakhstan

    In recent years, Kazakhstan has developed a comprehensive digital government system and begun to create the legal and regulatory conditions for the digital transformation of the country’s economy. The digitalisation of the private sector requires further improvements in framework conditions, such as reliable access to broadband services, quality and affordability of networks, and digital security for businesses. Based on recent OECD work on digital framework conditions, this report examines the legal and operational environment that is holding back the digital transformation of private firms in Kazakhstan. The report suggests three sets of actions: (1) addressing the remaining Internet quality and connectivity gaps, notably by mobilising the regional public sector to improve the quality and density of networks, and by expanding the inclusion of the private sector in the policy-making process; (2) improving competition in, and the investment attractiveness of, the telecom sector by setting-up an independent national telecom regulator, and by developing a targeted investment attraction strategy to prepare for deployment of next-generation communication networks; and (3) adapting the regulatory and policy framework for firms adapting to new digital challenges and raising their awareness of digital security.
  • 15-May-2023

    English

    Digital Government Review of Türkiye - Towards a Digitally-Enabled Government

    This Digital Government Review of Türkiye explores how the Government of Türkiye can use digital technology and data to help the public sector become more responsive, resilient and proactive. It evaluates the efforts made so far by Türkiye in achieving digital government maturity by looking at governance, institutional capacities, digital skills, public service design and delivery, enabling building blocks and the strategic management and use of data. The review provides policy recommendations intended to help the Government of Türkiye fully benefit from digital technologies and data to realise the potential of the digital age in transforming the public sector and the services provided to the public.
  • 27-April-2023

    English

    Moving forward on data free flow with trust - New evidence and analysis of business experiences

    This report uses business consultations to investigate private-sector views on privacy and data protection rules for cross-border data flows. It aims to inform a more comprehensive understanding of challenges and ways forward for the policy agenda of ‘data free flow with trust’. While frameworks aimed at generating trust and facilitating data flows build on commonalities and elements of convergence, businesses identify challenges to fully operationalise them at the global level. In particular, businesses indicate the need for coherent principles and rules that are transparent and predictable, provide a practical balance between certainty and flexibility, and offer solutions that match business realities. Finally, the report highlights the need for greater international regulatory co-operation and leveraging the full range of options to uphold trust around privacy and data protection globally.
  • 20-April-2023

    English

    Good practice principles for public communication responses to mis- and disinformation

    This document presents the principles of good practice for public communication responses to mis- and disinformation. The Principles aim to help governments counter mis- and disinformation via the public communication function and other policy responses through strengthening domestic and international media and information ecosystems and reinforcing democracy. This document identifies nine common principles underpinning good practices for how governments can engage with partners across citizens, civil society and the private sector, based on evidence and interventions observed around the world during the COVID-19 pandemic and beyond.
  • 14-April-2023

    English

    Workshop on Applying Behavioural Insights to Consumer and Competition Policy

    14 April 2023 - This workshop will explore how businesses may use behavioural insights to exploit consumer biases and manipulate consumer decision-making, and the possible consumer and competition policy responses addressing such practices in a holistic manner.

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  • 13-April-2023

    English

    AI language models - Technological, socio-economic and policy considerations

    AI language models are a key component of natural language processing (NLP), a field of artificial intelligence (AI) focused on enabling computers to understand and generate human language. Language models and other NLP approaches involve developing algorithms and models that can process, analyse and generate natural language text or speech trained on vast amounts of data using techniques ranging from rule-based approaches to statistical models and deep learning. The application of language models is diverse and includes text completion, language translation, chatbots, virtual assistants and speech recognition. This report offers an overview of the AI language model and NLP landscape with current and emerging policy responses from around the world. It explores the basic building blocks of language models from a technical perspective using the OECD Framework for the Classification of AI Systems. The report also presents policy considerations through the lens of the OECD AI Principles.
  • 11-April-2023

    English

    A portrait of AI adopters across countries - Firm characteristics, assets’ complementarities and productivity

    This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large – and to some extent across young – firms. AI users tend to be more productive, especially the largest ones. Complementary assets, including ICT skills, high-speed digital infrastructure, and the use of other digital technologies, which are significantly related to the use of AI, appear to play a critical role in the productivity advantages of AI users.
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