AI for Collective Intelligence (AI4CI)

人工智能促进集体智慧 (AI4CI)

基本信息

  • 批准号:
    EP/Y028392/1
  • 负责人:
  • 金额:
    $ 1309.15万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2024
  • 资助国家:
    英国
  • 起止时间:
    2024 至 无数据
  • 项目状态:
    未结题

项目摘要

AI and Machine Learning often address challenges that are relatively monolithic in nature: determine the safest route for an autonomous car; translate a document from English to French; analyse a medical image to detect a cancer; answer questions about a difficult topic. These kinds of challenge are very important and worthwhile targets for AI research. However, an alternative set of challenges exist that are more *collective* in nature and that unfold in *real time*: - help minimise the impact of a pandemic sweeping through a population of people by informing the coordination of local and national testing, social distancing and vaccination interventions; - predict and then monitor the extent and severity of an extreme weather event using multiple real-time physical and social data streams; - anticipate and prevent a stock market crash caused by the interactions between many automated trading agents each following its own trading algorithm; - derive city-wide patterns of changing mobility from high-frequency time series data and use these patterns to drive city planning decisions that maximise liveability and sustainability in the future city;- assist populations of people with type 2 diabetes to avoid acute episodes and hospitalisation by identifying patterns in their pooled disease trajectories while preserving their privacy and anonymity. Developing AI systems for these types of problem presents unique challenges: extracting reliable and informative patterns from multiple overlapping and interacting data streams; identifying and controlling for inherent biases within the data; determining the local interventions that can allow smart agents to influence collective systems in a positive way; developing privacy preserving machine learning and advancing ethical best practices for collective AI; embedding novel machine learning and AI in portals, devices and tools that can be used transparently and successfully by different types of user.The AI for Collective Intelligence (AI4CI) Hub will address these challenges for AI in the context of critically important real world use cases (cities, pandemics, health care, environment and finance) working with key stakeholder partners from each sector.In addition to significantly advancing applied AI research for collective intelligence, the AI4CI Hub will also work to build *community* in this research area, linking together academic research groups across the UK with each other and with key industry, government and public sector organisations, and to build *capability* by developing and releasing open access training materials, tools, demonstrator systems and best practice guidance, and by supporting the career development of early and mid-career researchers both within academia and beyond.The AI for Collective Intelligence Hub will be a centre of gravity for a nation-wide research effort applying new AI to collective systems.
人工智能和机器学习通常会解决本质上相对单一的挑战:为自动驾驶汽车确定最安全的路线;把一份文件从英语翻译成法语;分析医学图像以检测癌症;回答关于一个困难话题的问题。这些挑战是人工智能研究非常重要和有价值的目标。然而,存在着另一组挑战,这些挑战更具有“集体”性质,并且是“实时”展开的:——通过为地方和国家检测、保持社会距离和疫苗接种干预措施的协调提供信息,帮助最大限度地减少流行病席卷人群的影响;-利用多个实时物理和社会数据流预测和监测极端天气事件的范围和严重程度;-预测和防止由许多自动交易代理之间的相互作用造成的股市崩盘,每个代理都遵循自己的交易算法;-从高频时间序列数据中得出城市范围内流动性变化的模式,并利用这些模式推动城市规划决策,最大限度地提高未来城市的宜居性和可持续性;-在保护隐私和匿名性的同时,通过识别汇总疾病轨迹中的模式,帮助2型糖尿病患者避免急性发作和住院治疗。为这些类型的问题开发人工智能系统提出了独特的挑战:从多个重叠和交互的数据流中提取可靠的信息模式;识别和控制数据中的固有偏差;确定能够让智能代理以积极方式影响集体系统的局部干预措施;发展保护隐私的机器学习,推进集体人工智能的道德最佳实践;在门户网站、设备和工具中嵌入新颖的机器学习和人工智能,供不同类型的用户透明而成功地使用。集体智能人工智能(AI4CI)中心将与每个部门的主要利益攸关方合作伙伴合作,在至关重要的现实世界用例(城市、流行病、医疗保健、环境和金融)的背景下应对人工智能面临的这些挑战。除了显著推进集体智能的应用人工智能研究外,AI4CI中心还将致力于在这一研究领域建立“社区”,将英国各地的学术研究小组相互联系起来,并与关键行业、政府和公共部门组织联系起来,并通过开发和发布开放获取的培训材料、工具、演示系统和最佳实践指南来建立“能力”。并通过支持学术界内外早期和中期职业研究人员的职业发展。集体智能人工智能中心将成为全国范围内将新人工智能应用于集体系统的研究工作的重心。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Seth Bullock其他文献

Does attractiveness influence condom use intentions in women who have sex with men? PLoS ONE, 14(5)
吸引力是否会影响男男性行为女性使用安全套的意图?
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    ID AnastasiaEleftheriou;Seth Bullock;Cynthia Graham;Shayna P. Skakoon;Roger Ingham
  • 通讯作者:
    Roger Ingham
Digital twins and AI for healthy and sustainable cities
用于健康和可持续发展城市的数字孪生和人工智能
  • DOI:
    10.1016/j.compenvurbsys.2025.102305
  • 发表时间:
    2025-09-01
  • 期刊:
  • 影响因子:
    8.300
  • 作者:
    Mark Birkin;Patrick Ballantyne;Seth Bullock;Alison Heppenstall;Heeseo Kwon;Nick Malleson;Jing Yao;Anna Zanchetta
  • 通讯作者:
    Anna Zanchetta
The Strategic Exploitation of Limited Information and Opportunity in Networked Markets
  • DOI:
    10.1007/s10614-008-9140-8
  • 发表时间:
    2008-04-24
  • 期刊:
  • 影响因子:
    2.200
  • 作者:
    Dan Ladley;Seth Bullock
  • 通讯作者:
    Seth Bullock

Seth Bullock的其他文献

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{{ truncateString('Seth Bullock', 18)}}的其他基金

IDEAS Factory - Resilient Futures
IDEAS Factory - 弹性未来
  • 批准号:
    EP/I005943/1
  • 财政年份:
    2010
  • 资助金额:
    $ 1309.15万
  • 项目类别:
    Research Grant

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Travel: Scholarships for Student Attendance at Co-Located Conferences: Human Computation & Collective Intelligence 2023
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Hybrid Human Artificial Collective Intelligence in Open-Ended Decision Making
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    2022
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    EU-Funded
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PIPP Phase I: Collective Intelligence for Pandemic Prediction Prevention and Response
PIPP 第一阶段:大流行预测、预防和应对的集体智慧
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互动环境中集体智慧的条件|
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Analysis of Emerging Super-Organisms by Large-scale Tracking Experiments and Developing a New Theory of Collective Intelligence
通过大规模跟踪实验分析新兴超级生物并发展集体智慧新理论
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结合集体和人工智能来了解早期宇宙
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6G Mitola Radio:具有集体智慧的认知大脑
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