AI访问计划 - 通用人才池
The AI Access Initiative - General Talent Pool
如果你对2AI的工作感兴趣,但目前没有合适的职位,我们鼓励你将信息提交到我们的通用人才库。
我们会定期审查申请,并在发现可能匹配的职位时与你联系。请注意,与我们特定职位的招聘周期不同,我们没有固定的审查时间表或流程,也无法提供对通用人才库申请的状态更新。
关于AI访问计划
由Evidence Action孵化的AI访问计划
我们正处在人工智能发展的转折点——这对发展中国家的人们来说既是巨大的机遇,也是风险:与其让贫困差距扩大,低收入国家有机会通过AI驱动的创新跳过发展里程碑。由Evidence Action孵化,我们推出了AI访问计划,这是一个专注于扩大AI赋能的“大赌注”以造福数亿甚至数亿生活在低收入和中等收入国家(LMIC)贫困人口的组织。
我们将在全球发展机构、顶尖AI实验室和领先研究人员的交汇处运作,以推动35亿全球贫困人口获得AI的好处。我们将创建“公共利益”的开源指南、工具包和见解,定义如何设计和启动可行且有影响力的AI赋能项目。鉴于机会的规模,我们预计组合将大幅扩展,但首先,我们正在扩大两个专注于农业AI和健康AI的项目。
我们由首席执行官Kanika Bahl领导,她是Anthropic长期利益信托基金的创始成员,顾问包括诺贝尔奖得主Michael Kremer;Anthropic首席执行官Dario Amodei;以及Alphabet和Google全球事务总裁Kent Walker。这项工作建立在Evidence Action在非洲和亚洲9个国家通过成本效益高、基于证据的项目影响超过5.3亿人的记录基础上,重点关注最后一公里的交付。
我们的方法
我们正在建设一个以AI为核心组织,专注于设计解决方案来触及数千万甚至数亿生活在贫困中的个人。我们将专注于实现短期内可实现的直接影响力,以及帮助政府提升能力并建立AI为善生态系统的支持环境,包括:
- 推出AI赋能的干预措施,影响数千万甚至数亿人,例如提供AI赋能的预测性农业建议
查看英文原文
If you're interested in 2AI's work but none of our open roles feel like a strong fit, we encourage you to submit your information to our General Talent Pool.
We'll periodically review applications and reach out if we identify a role that may be a good match. Note that unlike our role-specific hiring rounds, we don't have a set review timeline or process, and we won't be able to provide status updates on General Talent Pool applications
About The AI Access Initiative
About The AI Access Initiative, incubated at Evidence Action
We're at an inflection point in artificial intelligence – presenting both tremendous potential opportunity and risk for people in developing countries: rather than allowing the poverty gap to expand, low-income countries have an opportunity to leapfrog development milestones with AI-powered innovations. Incubated at Evidence Action, we’re launching The AI Access Initiative, an organization focused on scaling AI-enabled ‘big bets’ to benefit tens or hundreds of millions of people in poverty in low- and middle-income countries (LMICs).
We will operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to the benefits of AI for the 3.5 billion people living in poverty globally. We will create “public good,” open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. Given the scale of opportunity, we expect our portfolio to expand substantially, but to start, we’re scaling two programs focused on AI in Agriculture and AI in Health.
We are led by CEO Kanika Bahl, a founding member of Anthropic’s Long-Term Benefit Trust, and advised by Nobel Laureate Michael Kremer; Dario Amodei, CEO of Anthropic; and Kent Walker, President, Global Affairs for Alphabet and Google. This work builds on Evidence Action’s track record reaching 530M+ people with cost-effective, evidence-based programs across 9 countries in Africa and Asia, with a focus on last-mile delivery.
Our Approach
We’re building an AI-native organization focused on designing solutions to reach tens or hundreds of millions of individuals living in poverty. We will focus both on delivering near-term, tractable direct impact as well as assisting governments to grow capacity and build enabling environments for the AI for Good ecosystem, including:
- Launching AI-enabled interventions to impact tens or hundreds of millions, such as delivering AI-enabled forecasts to smallholder farmers to improve yields and earnings, leveraging AI to dramatically improve medical diagnosis and treatment, implementing frontier systems to identify and mitigate disease outbreaks, or putting personalized AI tutors into the hands of students to drive reductions to system-level educational attainment gaps. When relevant, we will partner with leading AI labs to shape technical offerings, including adapting for underrepresented languages, bandwidth constraints, etc.
- Partnering with governments in low- and middle-income countries (LMICs) to drive regulatory changes, policy, and investments necessary to unlock beneficial use cases at national scale, while proactively mitigating the downside risks of AI.
Building on our recent Cross-Sector Analysis of near and medium-term AI opportunities in LMICs, we are advancing the highest-scoring interventions through a rigorous vetting process, including evidence reviews, cost-effectiveness analyses, risk assessments, and early operational/technical scoping. We are excited about the opportunity to deliver AI-enabled weather forecasting for smallholder farmers, and are now running deeper analysis on opportunities in global health.
Requirements
Who You Are
You might be a strong fit for the AI Access Initiative team if you bring an ownership mindset and thrive in fast-moving, ambitious environments. Ideal candidates take initiative, are comfortable putting structure around ambiguity, and focus on outcomes not outputs. We’re especially excited about hiring builders who problems, enjoy creating new systems from the ground up and thinking creatively about some of the world's hardest problems
Originally posted on Himalayas