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人工智能、搜索与信息查找体验的未来.pdf

上传人: 五**** 编号:1241099 2026-05-16 97页 25.14MB

1、AI,Search,and the Future of ResearchDaniel M.RussellGoogle/Stanford/U.Zrich/YaleMarch 2026Its humans and AIs everywhere2My job 3My job 4I am aMy job My job 5I am a cyber-My job My job 6I am a cyber-tribal-My job My job 7I am a cyber-tribal-techno-My job My job 8I am a cyber-tribal-techno-cognitive-M

2、y job My job 9I am a cyber-tribal-techno-cognitive-anthropologist My job My job I am a cyber-tribal-techno-cognitive-anthropologistI think about how groups of people think about,understand,and use the technology of AI systems.10My job I am also a software engineer&research scientist&university profe

3、ssor.I study how people understand and use AI systems.Particularly how they learn to find and use information.11My job My job12SearchR Dan Russell SearchResearch blog 151617181.AI changes the nature of researchGEN AI will make researchers better Shrinks the gap between the median and the max researc

4、her The best researcher of the future will probably use a different skill set than the best researchers of today.What were teaching has to change.The landscape is shifting rapidly.1920https:/www-cs-faculty.stanford.edu/knuth/papers/claude-cycles.pdf 1.AI changes 1.AI changes the nature of researchna

5、ture of researchGEN AI will make researchers betterFluid,agile,adaptive researchers needed(Why?New tools/systems come available much more rapidly.Things change.Underlying concepts and capabilities)211.AI changes the nature of 1.AI changes the nature of researchresearchWe are living/teaching/learning

6、 in a complex sociotechnical system.AI work is co-intelligence work.23The Intern MetaphorYou dont type keywords into an intern.You give them a briefing.24Example:Visualize Strava data25Fast develop262829Yale undergrads 3031New kinds of research tools Automation of Repetitive Tasks:data entry,schedul

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1. **AI重塑研究范式**:生成式AI将提升研究者能力,缩小普通与顶尖研究者差距,未来需培养“敏捷自适应”的研究者,技能组合从深度转向广度(如“半人马”模式)。 2. **新能力与工具**:AI实现10倍生产力提升(如编程、内容创作),自动化重复任务(数据录入、会议总结),并催生“AI队友”(如会议纪要、日程管理)。 3. **研究方法变革**:AI深化内容分析(如跨文献关系挖掘),但需警惕“新灾难”(如AI生成内容误导)及“认知技能退化”。 4. **未来关键能力**:需培养“提问能力”“研究直觉”与“行动力”,保持好奇心,并构建“人机协同”的社会技术系统。 5. **核心挑战**:知识生产与静态载体脱钩,需确保AI使用的责任与可追溯性(如“提示债务”问题)。
AI如何重塑研究? 研究者必备新技能? AI会取代研究者吗?
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