Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Automation | 1 |
| COVID-19 | 1 |
| Computer Science | 1 |
| Decision Making | 1 |
| Developed Nations | 1 |
| Economic Factors | 1 |
| Employees | 1 |
| Employers | 1 |
| Foreign Countries | 1 |
| International Organizations | 1 |
| More ▼ | |
Source
| Campbell Systematic Reviews | 1 |
Author
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
| Canada | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWelch, Vivian; Mathew, Christine; Marins, Luciana M.; Ghogomu, Elizabeth T.; Dowling, Sierra; Abdisalam, Salman; Madani, Mohamad T.; Murphy, Emma; Kebedom, Kisanet; Ogborogu, Jennifer; Gallagher-Mackay, Kelly – Campbell Systematic Reviews, 2020
The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…
Descriptors: Skill Development, International Organizations, Automation, Unemployment
