Artificial intelligence (AI) is transforming every aspect of our lives. It influences how we work and play. It promises to help solve global challenges like climate change and access to quality medical care. With these enormous benefits come real challenges for governments and citizens alike.
Learning algorithms already greet us on our digital devices, influence our purchases, govern our news feeds, and will soon drive our cars. What sort of policy and institutional frameworks should guide AI design and use, as autonomous and self-taught machines become part of our everyday lives?
And as it permeates economies and societies, how can we ensure that AI benefits society as a whole?
Such questions are becoming increasingly important to address and we need the global co-operation of all stakeholders.
- AI: Intelligent machines, smart policies. Discussions at the October 2017 OECD conference on AI are summarized in this digital economy paper (August 2018)
- Which skills for the digital era? This working paper discusses how valuable different types of skills are as industries go digital and the extent to which skills bundles matter (April 2018)
- Putting faces to the jobs at risk of automation. This policy brief analyses the jobs at risk of becoming redundant due to the automation of low-skilled and repetitive tasks (March 2018)
- Computers and the Future of Skill Demand. This report improves understanding of computer capabilities by using the OECD’s Survey of Adult Skills (PIAAC) to compare computers’ literacy, numeracy and problem solving skills with those of human workers (October 2017)
- Technology outlook: artificial intelligence and blockchain. This chapter of the OECD Digital Economy Outlook 2017 explores the characteristics, opportunities and challenged raised by two of the currently most promising technological developments (October 2017)
- Public acceptance and emerging production technologies. Public acceptance of technology is a key factor in how innovation impacts society. This chapter from the report The Next Production Revolution considers public acceptance issues in biotechnology, nanotechnology, big data and artificial intelligence (May 2017)