2024人工智能（AI）对工作和就业的影响研究报告_24页_768kb

AI in Work and Employment Overview

Global AI Growth and Impact Scope

• AI technologies drive social/economic change, valued between $2.6T–$4.4T annually (McKinsey, 2023).
• Shapes jobs through displacement, augmentation, and creation. E.g., fastest-growing jobs: AI specialists, sustainability analysts (WEF, 2023a).
• Job quality may improve via reduced tedium & enhanced safety; ethical concerns exist with algorithmic management.

Key Trends in Employment Dynamics

• Skill Demand: High barriers due to tech costs limit adoption. AI skills grow rapidly, with demand in software engineering/data analysis rising (ITU, 2021; LinkedIn, 2023).
• Job Mobility: Global HR expects generative AI to increase recruitment mobility via cross-border/hybrid language capabilities.

Labour Management Trends

• Hiring: HR processes increasingly automated via AI chatbots & analytics (IBM, 2023).
• Performance: AI enables descriptive/predictive monitoring, optimization of KPIs.

AI in Conflict/Downsizing

• Conflict Resolution: AI-powered mediation tools accelerate dispute resolution (e.g., Smartsettle ONE).
• Workforce Reductions: Though concerns about precariousness rise, algorithms drive cost-effective redundancies. Requires quality HR data to facilitate fair HR processes.

Global Policy Landscape

• National Initiatives: Countries focus on competitiveness & fairness via institutional capacity, transparency & skills training (OECD, 2024).
• Key EU Regulation: The EU AI Act introduces risk-based regulation for public/commercial sectors (unacceptable risk: emotion recognition).
• International Guiding Principles: ILO/OECD/UNESCO emphasize human-centric governance, transparency, & ethical frameworks (UN Resolution 2024).

Actionable Recommendations (IOE)

• Organizational: Create supportive cultures, develop tailored AI strategies, invest in ethical risk assessment.
• Country-Level: Foster responsible innovation & collaboration (EU AI Act example). Policymakers should balance AI safety with economic stimulation.

References

• Cited sources include WEF, McKinsey, PwC, EU AI Act, ILO Decl., UNESCO Rec., OECD AI Principles (latest refs to 2024).