Canada

While means-tested benefits such as minimum income benefits (MIB) and unemployment assistance (UA) are an essential safety net for low-income people and the unemployed, incomplete take-up is the rule rather than the exception. Building on desk research, open-ended surveys and semi-structured interviews, this paper investigates the opportunities and risks of using artificial intelligence (AI) for managing these means-tested benefits. This ranges from providing information to individuals, through determining eligibility based on pre-determined statutory criteria and identifying undue payments, to notifying individuals about their eligibility status. One of the key opportunities of using AI for these purposes is that this may improve the timeliness and take-up of MIB and UA. However, it may also lead to systematically biased eligibility assessments or increase inequalities, amongst others. Finally, the paper explores potential policy directions to help countries seize AI’s opportunities while addressing its risks, when using it for MIB or UA management.

Most workers who will be exposed to artificial intelligence (AI) will not require specialised AI skills (e.g. machine learning, natural language processing, etc.). Even so, AI will change the tasks these workers do, and the skills they require. This report provides first estimates for Canada on the effect of artificial intelligence on the demand for skills in jobs that do not require specialised AI skills. The results show that the skills most demanded in occupations highly exposed to AI are management, communication and digital skills. These include skills in budgeting, accounting, written communication, as well as competencies in basic word processing and spreadsheet software. The results also show that, in Canada, demand for social and language skills have increased the most over the past decade in occupations highly exposed to AI. Using a panel of establishments confirms the increasing demand for social and language skills, as well as rising demand for production and physical skills, which may be complementary to AI. However, the establishment panel also finds evidence of decreasing demand for business, management and digital skills in establishments more exposed to AI.

While child poverty has decreased significantly in recent years due to increased support for families with children, measures to assist socio-economically disadvantaged children only partially address their challenges. To enhance equality of opportunity and social mobility in Canada, it is crucial to strengthen efforts addressing the root causes of socio-economic disadvantages and bridge gaps in policies aimed at reducing child poverty. This paper presents an overview of child poverty trends in Canada and discusses the challenges associated with the Poverty Reduction Strategy aimed at enhancing equality of opportunity and social mobility.

This paper first presents a meta-analysis of the causal impact of cultural participation on well-being. The meta-analysis classifies the literature according to the strength of the evidence available and various types of cultural activities. Secondly, this paper uses data from time use surveys from Canada, France, Italy, the United Kingdom, and the United States to study individuals’ emotional responses to a series of daily activities. This is then used as a basis for an empirical assessment of the drivers of time allocation across different activities, showing that expectations of future well-being are one of the reasons why individuals decide to engage in cultural activities. Furthermore, the model helps explain why cultural participation, in spite of being one of the most enjoyable human activities, is also the least undertaken. We show that heterogeneity of preferences results in a strong selection effect in available statistics.

The paper discusses the implications of recent advances in artificial intelligence for knowledge workers, focusing on possible complementarities and substitution between machine translation tools and language professionals. The emergence of machine translation tools could enhance social welfare through enhanced opportunities for inter-language communication but also create new threats because of persisting low levels of accuracy and quality in the translation output. The paper uses data on online job vacancies to map the evolution of the demand for language professionals between 2015 and 2019 in 10 countries and illustrates the set of skills that are considered important by employers seeking to hire language professionals through job vacancies posted on line.

New OECD surveys of employers and workers in the manufacturing and finance sectors of seven countries shed new light on the impact that Artificial Intelligence has on the workplace —an under-researched area to date due to lack of data. The findings suggest that both workers and their employers are generally very positive about the impact of AI on performance and working conditions. However, there are also concerns, including about job loss—an issue that should be closely monitored. The surveys also indicate that, while many workers trust their employers when it comes to the implementation of AI in the workplace, more can be done to improve trust. In particular, the surveys show that both training and worker consultation are associated with better outcomes for workers.

Being able to swim empowers individuals to make choices, have agency, and be free to choose core aspects of their life, such as working safely on or near water. It is also associated with lifelong health benefits and reduces the risk of drowning. Using data from the Lloyd’s Register Foundation World Risk Poll 2019, this paper provides the first global estimates of adults’ ability to swim without assistance. Individuals in high-income countries are considerably more likely to report being able to swim without assistance than individuals in low-income countries. Disparities also exist within countries. In particular, women are less likely to be able to swim without assistance than men in virtually all countries, birth cohorts, and levels of education. Investing in reducing inequalities in life skills, such as swimming, can foster economic development and empowerment, especially in light of threats, such as climate change.

Behavioural insights (BI) has become widely used by public bodies around the world, mostly towards improving the way policies are implemented and influencing individual behaviour. As the field of BI evolves to tackle more complex policy issues, there is widespread perception that BI can and should go beyond the study of individual-level decision processes for higher impact. This report presents research on applying BI to changing the behaviour of organisations, with a focus on fostering elements of a safety culture in the energy sector. It presents comparative findings from experiments with energy regulators in Canada, Ireland, Mexico and Oman, as well as guidance for applying BI to safety culture going forward.

Canada has not only the largest in terms of numbers, but also the most elaborate and longest-standing skilled labour migration system in the OECD. Largely as a result of many decades of managed labour migration, more than one in five people in Canada is foreign-born, one of the highest shares in the OECD. 60% of Canada’s foreign-born population are highly educated, the highest share OECD-wide. The recent introduction of Express Entry, a two-step selection system based on an initial pre-sreening of suitable candidates who enter a pool by Expression of Interest and subsequent selection of the most skilled candidates from the pool, has further enhanced the competitive edge of the selection system relative to other countries. It also ensures that those with the skills to succeed are admitted to Canada in a quick and efficient way. Core to Canada's success is not only the elaborate selection system itself, but also the innovation and infrastructure around it, which ensures constant testing, monitoring and adaptation of its parameters. This includes a comprehensive and constantly improving data infrastructure, coupled with the capacity to analyse it, and swift policy reaction to new evidence and emerging challenges.