Share

Latest Documents


  • 23-April-2020

    English

    Tracking and tracing COVID-19: Protecting privacy and data while using apps and biometrics

    Disclosures of personal information can allow the public to better identify potential COVID-19 infections and track the spread over time. However, current digital solutions for monitoring and containment have varying implications for privacy and data protection.

    Related Documents
  • 23-April-2020

    English

    Using artificial intelligence to help combat COVID-19

    AI technologies and tools play a key role in every aspect of the COVID-19 crisis response. To realise the full promise of AI to combat COVID-19, policy makers must ensure that AI systems are trustworthy and aligned with the OECD AI Principles.

    Related Documents
  • 14-April-2020

    English

    Ensuring data privacy as we battle COVID-19

    While the exceptional measures implemented or envisaged in some countries may ultimately prove effective in limiting the spread of the virus, some approaches have proven controversial in terms of their risk of violating privacy and other fundamental rights of citizens, particularly when such measures lack transparency and public consultation.

    Related Documents
  • 3-April-2020

    English

    Dealing with digital security risk during the COVID-19 crisis

    Digital security risk is increasing as malicious actors take advantage of the coronavirus (COVID-19) epidemic. It is essential that governments raise awareness, monitor the threat landscape and publish easily accessible guidelines for digital security hygiene, in particular to vulnerable groups.

    Related Documents
  • 27-February-2020

    English

    OECD.AI Policy Observatory on Artificial Intelligence

    OECD.AI is an interactive online platform for shaping and sharing AI policies across the globe. It aims to help countries and others implement the OECD AI Principles for the development of responsible and trustworthy AI that benefits society as a whole.

    Related Documents
  • 14-February-2020

    English

    Going Digital integrated policy framework

    Digital transformation has widespread and complex effects across the economy and society. It impacts many policy domains and makes trade-offs between public policy objectives more difficult to navigate. The Going Digital Policy Framework helps governments and stakeholders develop an integrated approach to policy making in the digital age and shape policies for an inclusive digital future.

    Related Documents
  • 15-November-2019

    English

    Scoping the OECD AI Principles: Deliberations of the expert group on artificial intelligence at the OECD (AIGO)

    As artificial intelligence permeates our societies, its transformational power must be put to the service of people and the planet. This paper presents a common understanding of what an AI system is, as well as a framework detailing the stages of the AI life cycle. This work informed the development of the AI Principles adopted by the OECD Council in 2019.

    Related Documents
  • 18-July-2019

    English

    Roles and responsibilities of actors for digital security

    This report summarises discussions at the first event of the OECD Global Forum on Digital Security for Prosperity. Participants examined stakeholders' roles and responsibilities in the governance of digital security risk in organisations, and how to improve digital security of technologies throughout their life cycle.

  • 15-July-2019

    English

    The effects of zero rating

    This report looks at the economics of zero rating - when certain types of traffic are not counted against a consumer’s download allowance by the Internet access service - and key policy issues such as its effects on competition and innovation. It also compares regulatory approaches across several countries.

    Related Documents
  • 21-June-2019

    English

    Measuring digital security risk management practices in businesses

    This report synthesises an OECD project to develop a framework and a set of statistical indicators that can be used to assess the digital security (cybersecurity) risk management practices of businesses. It also provides recommendations for future efforts to build on this project.

    Related Documents
  • << < 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 > >>