======Artificial Intelligence and Labor====== This report examines the impact of artificial intelligence (AI) on work, focusing on the transportation, banking, and healthcare sectors. It explores how AI can transform tasks, qualifications, and organizational structures, and considers the potential for both gradual evolution and disruptive change in various sub-sectors. The report also highlights the importance of anticipating AI's effects, ensuring worker training, and reinforcing job security mechanisms for sectors at risk of automation. \\ \\ (Generated with the help of GPT-4) \\ ^ Quick Facts ^^ |Report location: |[[https://espas.secure.europarl.europa.eu/orbis/system/files/generated/document/en/Intelligence%2520artificielle%2520et%2520travail.pdf|source]] | |Language: |English | |Publisher: |[[encyclopedia:fr_cgsp_france_strat_gie|France Stratégie]] | |Authors: | Agnès Bocognano, Guillaume Thibault, Julia Charrié, Lionel Janin, Salima Benhamou | |Geographic focus: |Global | |Page count: |90 pages | =====Methods===== The research method involved analyzing the impact of AI on work in three sectors: transportation, banking, and healthcare. It included examining AI applications, assessing their maturity, and identifying factors influencing AI diffusion. The study also considered employment demographics, regulatory frameworks, and social acceptability. It drew insights from sector-specific examples to make broader generalizations about AI's effects on jobs and skills. \\ \\ (Generated with the help of GPT-4) \\ =====Key Insights===== The research explores AI's role in transforming work across three sectors: transportation, banking, and healthcare. It assesses AI's potential to automate tasks, enhance decision-making, and improve organizational processes. The study also considers the implications for job qualifications, the need for new skills, and the impact on employment levels. It emphasizes the importance of strategic planning, worker training, and social acceptance for successful AI integration. \\ \\ (Generated with the help of GPT-4) \\ =====Additional Viewpoints===== Categories: {{tag>2018}} | {{tag>English_publication_language}} | {{tag>Global_geographic_scope}} | {{tag>ai_impact}} | {{tag>artificial_intelligence}} | {{tag>banking}} | {{tag>economy}} | {{tag>employment}} | {{tag>healthcare}} | {{tag>job_qualifications}} | {{tag>labor}} | {{tag>labor_market}} | {{tag>organizational_change}} | {{tag>regulatory_framework}} | {{tag>science}} | {{tag>social_acceptance}} | {{tag>task_automation}} | {{tag>technology}} | {{tag>transportation}} | {{tag>worker_training}} ~~DISCUSSION~~