The article argues that targeted cash transfers represent a feasible, scalable mechanism to end extreme poverty, noting that previous growth-based models have stalled since 2015. Evidence from existing evaluations demonstrates that unconditional cash transfers positively impact consumption, health, and education without discouraging labor force participation. To move beyond small pilots, the authors propose initiating a national-scale "proof-of-concept" program, funded by private capital and embedded within a government structure. This approach is crucial not only for immediate poverty reduction but also for generating the necessary evidence to build state capacity and enable global replication of the model.
AI in the nursery
English Summary
AI technologies are increasingly entering the critical developmental period of birth to age three, raising concerns about the potential impact on foundational human connections. The core argument is that protecting secure attachment and essential back-and-forth human communication remains paramount for lifelong well-being. Experts emphasize that while AI offers opportunities, the focus must be on mitigating risks that could diminish the quality of human relationships in early life. Consequently, the discussion stresses the urgent need for establishing robust policy guardrails and design principles to ensure that human interaction remains central, guiding policymakers, educators, and caregivers in this complex technological era.
中文摘要
人工智慧技術正日益深入影響嬰幼兒（出生至三歲）的關鍵發展期，引發了對其潛在影響於基礎人際連結的深切關切。核心論點強調，保護穩固的依附關係（secure attachment）和必要的雙向人際交流，對於終身福祉至關重要。專家們指出，儘管人工智慧提供了許多機遇，但重點必須放在減輕可能削弱早期人際關係品質的風險。因此，本次討論強調迫切需要建立健全的政策防護機制和設計原則，確保人際互動仍處於核心地位，從而指導政策制定者、教育工作者和照護者應對這個複雜的科技時代。
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