00000nam 2200000zi 4500 9.942043 CaOODSP 20250107144100 m o d f cr cn||||||||| 240819t20242024oncd obs f000 0 eng d 9780660732299 CaOODSP eng rda CaOODSP n-cn--- CS11-0019/478E-PDF Mehdi, Tahsin, author. Experimental estimates of potential artificial intelligence occupational exposure in Canada / by Tahsin Mehdi and René Morissette. [Ottawa] : Statistics Canada = Statistique Canada, 2024. ©2024 1 online resource (34 pages) : graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier Analytical Studies Branch research paper series, 1205-9153 ; no. 478 "Release date: September 3, 2024." Issued also in French under title: Estimations expérimentales de l'exposition professionnelle potentielle à l'intelligence artificielle au Canada. Includes bibliographical references (pages 33-34). "Past studies on technological change have suggested that occupations involving routine and manual tasks will face a higher risk of automation-related job transformation. However, recent advances in artificial intelligence (AI) challenge prior conclusions, as AI is increasingly able to perform non-routine and cognitive tasks. These advances have the potential to affect a broader segment of the labour force than previously thought. This study provides experimental estimates of the number and percentage of workers in Canada potentially susceptible to AI-related job transformation"--Abstract, page 5. Artificial intelligence Economic aspects Canada Statistics. Employees Effect of technological innovations on Canada Statistics. Statistics lcgft Statistics Canada. Analytical Studies Branch, issuing body. Estimations expérimentales de l'exposition professionnelle potentielle à l'intelligence artificielle au Canada / (CaOODSP)9.942047 Research paper series (Statistics Canada. Analytical Studies Branch) 1205-9153 ; no. 478. (CaOODSP)9.504421 PDF 870 KB https://publications.gc.ca/collections/collection_2024/statcan/11f0019m/11f0019m2024005-eng.pdf HTML N/A https://www150.statcan.gc.ca/n1/pub/11f0019m/11f0019m2024005-eng.htm 11F0019M - No. 478