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Student Program of the Second Conference on Artificial Intelligence (AI), Ethics and Society (AIES 2019)

Student Program of the Second Conference on Artificial Intelligence (AI), Ethics and Society (AIES 2019)
第二届人工智能(AI)、伦理与社会会议学生计划(AIES 2019)
批准号:
1904519
负责人:
Kristen Venable
金额:
$1.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-01-01 至 2019-06-30

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中文摘要
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英文摘要
This award supports the participation of a select group of US-based Ph. D. students in the student program of the Second AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES 2019) which will take place in Honolulu, HI on January 27th and 28th, 2019. AIES was formed to promote concrete planning and research in the present and future of AI, examining the imperative that technologists talk not only to one another, but to thinkers and experts across the humanities and social sciences as well. The AIES conference is a valuable opportunity for students from a range of disciplines to learn from AI experts across the disciplinary spectrum including computer scientists, sociologists, philosophers, economists, and lawyers specializing in privacy, human rights, and other relevant aspects of law. This exposure will help enrich their understanding of the powers and perils of their own work. The student track also serves as an important opportunity for "cohort-building" among students in various humanities and social science disciplines, with disparate knowledge bases and trainings but a common concern for the future of AI.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TRAVEL PROPOSAL: STUDENT PROGRAM OF THE FIFTH CONFERENCE ON AI, ETHICS AND SOCIETY (AIES 2022)
  • 批准号:
    2223680
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2022
  • 负责人:
    Kristen Venable
  • 依托单位:
Collaborative Research: RI: Small: Modeling and Learning Ethical Principles for Embedding into Group Decision Support Systems
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