workers aged 22 to 25 in the most AI-exposed occupations experienced a 16% relative decline in employment after the spread of generative AI
这是一个显著的数据点，表明AI对年轻就业者产生了实质性影响。16%的相对下降幅度相当可观，特别是在控制了其他影响因素后。这一数据来自斯坦福数字经济实验室的工作论文，具有一定的学术可信度，但需要注意这是相对下降而非绝对下降。
workers aged 22 to 25 in the most AI-exposed occupations experienced a 16% relative decline in employment after the spread of generative AI
这个16%的就业下降率是文章中最关键的数据点，表明AI对年轻就业者有显著影响。这个数据来自斯坦福数字经济实验室的工作论文，具有一定可信度。然而，这是相对下降率，不是绝对数量，且仅限于AI高度暴露的职业。这一数据与整体就业稳定的趋势形成鲜明对比，说明AI的影响存在结构性差异。
locally-based staff and carries out its programs in conjunction with local partners. Teams of international instructors and volunteers support the programs through projects year-round.
So many good features in your project!
Employing local staff that know the setting and can be role models for the kids.
Supporting mentoring by volunteers to scale.
Working with bodies to get a visceral experience that change is possible.
Mentoring in groups to build a community.
Spotlighting diversity and building bridges beyond the local community.
Some related resources: Ballet dancer from Kibera
Fighting poverty and gang violence in Rio's favelas with ballet
Youth and COVID 19: Response, Recovery and Resilience—OECD. (n.d.). Retrieved June 17, 2020, from https://read.oecd-ilibrary.org/view/?ref=134_134356-ud5kox3g26&title=Youth-and-COVID-19-Response-Recovery-and-Resilience