Employment in times of digitalization and artificial intelligence
Asif Ayub
Over recent years, there have been rapid advances in digital technologies, most prominently in the area of artificial intelligence (AI). As also witnessed during previous waves of disruption, these fast developments have led to new speculation on the likely impact of such technologies on labour markets. Due to the application across many occupations and sectors, the effects of AI on jobs have potentially far-reaching implications for jobs. In this context, key questions arise, such as: To what extent are certain occupations being replaced by AI? Are low-, middle- and high-skilled workers impacted alike? Will AI create new job opportunities?
In response to these questions, the Employment Policy and Analysis Programme of the ITCILO, with the support of the Employment, Labour Markets and Youth Branch (EMPLAB) and other ILO departments proposed a training on employment in the digital economy, exploring both emerging opportunities and challenges.
OBJECTIVES
At the end of the programme, participants have:
Increased their understanding of the scope of the digital revolution and its impact from a decent work perspective, e.g., the impact on labour markets, jobs, skills, specific groups and public employment services
Been exposed to “digital divides’’ across groups, sectors and countries and to ILO diagnostic tools to analyse the impact of digitalization on employment and policy dimensions to harness the benefits of the digital economy
Identified the role of innovation in making the digital transformation more inclusive
CONTENT
Module 1: Employment trends and the rise of artificial intelligence
Module 2: Employment diagnostics and identifying the effects of digitalization on the labour market
Module 3: Emerging jobs and skills in the digital economy
Module 4: Digitalization of public employment services and supporting transitions during times of rapid change
Module 5: Bridging the gap: unlocking opportunities in digital jobs
NUMBER OF HOURS: 30 hours
Skills / Knowledge
- Employment trends
- Artificial intelligence
- Digital economy
- Emerging skills
- Digital inclusion
- Job transition