Collaborative Research: EAGER: SaTC-EDU: Teaching High School Students about Cybersecurity and Artificial Intelligence Ethics via Empathy-Driven Hands-On Projects

合作研究:EAGER:SaTC-EDU:通过同理心驱动的实践项目向高中生传授网络安全和人工智能伦理知识

基本信息

  • 批准号:
    2114991
  • 负责人:
  • 金额:
    $ 15.48万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-07-01 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

Empathy, a unique human capacity to think from others' perspectives and feel for others, is an essential skill that will not be replaced by automation. While empathy is valued, there have been serious concerns about its absence in technology development. This project seeks to address that gap by developing hands-on labs to train high school students and to increase their empathy of others so that they can identify cybersecurity and artificial intelligence (AI) ethics issues. The hands-on labs developed in this project will be made publicly available so schools or teachers may freely use them. These labs, workshops, and summer camps will improve high school students' knowledge of, as well as skills and career interests in, cybersecurity and AI ethics. These activities will also foster high school students' empathy for others, especially young children. This project will help the next-generation workforce learn and apply knowledge and skills in designing and using future technologies in a secure and ethical manner. This project presents a radically different approach to integrating cybersecurity and AI ethics education. It will use an empathy-driven approach to teach high school students about young children who are most vulnerable to cybersecurity and AI ethics issues. To enhance empathetic responses to young children, the project will include real-life examples of young children who are interacting with unethical AI or exposed to cybersecurity risks. Specifically, this project aims to develop, deploy and evaluate hands-on labs to train high school students and to increase their empathy of others in the context of cybersecurity and AI ethics issues. The labs will cover a wide variety of scenarios such as online gaming, social media, mobile apps, and smart toys. In addition to knowledge-based measures, this project will explore the usage of a cutting-edge non-invasive neuro-imaging technique, functional near-infrared spectroscopy (fNIRS), to assess the impact of these labs on the activation of brain regions associated with empathy in high school students. This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.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.
同理心是一种从他人的角度思考并感同身受的人类独特能力,是一项不会被自动化取代的基本技能。虽然同理心受到重视,但人们对它在技术开发中的缺乏表示严重担忧。通过开发动手实验室来培训高中生并增强他们对他人的同理心,以便他们能够识别网络安全和人工智能 (AI) 道德问题,来弥补这一差距。该项目中开发的动手实验室将公开。因此学校或教师可以自由使用它们。研讨会和夏令营将提高高中生对网络安全和人工智能道德的知识、技能和职业兴趣。这些活动还将培养高中生对他人,特别是幼儿的同理心。下一代劳动力以安全和道德的方式学习和应用设计和使用未来技术的知识和技能,该项目提出了一种完全不同的方法来整合网络安全和人工智能道德教育,它将使用同理心驱动的方法来教授高中。学生最容易受到网络安全和人工智能道德问题的影响。该项目将包括与不道德的人工智能互动或面临网络安全风险的幼儿的现实例子,具体而言,该项目旨在开发、部署和评估动手实验室,以培训高中生和学生。除了基于知识的措施外,该实验室还将涵盖在线游戏、社交媒体、移动应用程序和智能玩具等多种场景。将探索尖端非侵入性技术的使用神经成像技术、功能性近红外光谱 (fNIRS),以评估这些实验室对高中生同理心相关大脑区域激活的影响。该项目得到了安全可信网络空间 (Secure and Trustworthy Cyber​​space) 一项特别倡议的支持。 SaTC)计划旨在促进网络安全、人工智能和教育领域之间新的、以前未探索过的合作。该奖项反映了 NSF 的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来确保支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using fNIRS To Understand Adults’ Empathy for Children in AI and Cybersecurity Scenarios
使用 fNIRS 了解人工智能和网络安全场景中成人对儿童的同理心
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Yang Wang其他文献

One Step Synthesis of Covalent Connected Three-dimensional Graphene/Carbon Nanotube for Olaquindox Electrochemical Sensor
一步合成共价连接三维石墨烯/碳纳米管用于喹乙醇电化学传感器
  • DOI:
    10.5796/electrochemistry.18-00040
  • 发表时间:
    2019-01-05
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Yubin Zhang;Yang Wang;Yifei Shi;Huayu Huang;Xingyu Wang;Liang Zhao
  • 通讯作者:
    Liang Zhao
Channel Measurements and Large-Scale Fading Characterization for Indoor THz Communications
室内太赫兹通信的信道测量和大规模衰落表征
A Epilepsy Drug Recommendation System by Implicit Feedback and Crossing Recommendation
基于隐式反馈和交叉推荐的癫痫药物推荐系统
Egg drop syndrome virus enters duck embryonic fibroblast cells via clathrin-mediated endocytosis.
掉蛋综合征病毒通过网格蛋白介导的内吞作用进入鸭胚胎成纤维细胞。
  • DOI:
    10.1016/j.virusres.2015.07.014
  • 发表时间:
    2015-12-02
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Jingjing Huang;D. Tan;Yang Wang;Caihong Liu;Jiamin Xu;Jingyu Wang
  • 通讯作者:
    Jingyu Wang
Developing a database for proteomic analysis of extracytosolic plant proteins
开发胞质外植物蛋白蛋白质组分析数据库

Yang Wang的其他文献

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{{ truncateString('Yang Wang', 18)}}的其他基金

Characterizing the Physical, Chemical, and Toxicological Properties of Secondhand Aerosols Generated from Electronic Nicotine Delivery Systems in Indoor Environments
表征室内环境中电子尼古丁传输系统产生的二手气溶胶的物理、化学和毒理学特性
  • 批准号:
    2324142
  • 财政年份:
    2023
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
Frequency-Domain Model Updating through Branch and Bound with Convex Relaxation
通过凸松弛的分支定界更新频域模型
  • 批准号:
    2211343
  • 财政年份:
    2023
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
Characterizing the Physical, Chemical, and Toxicological Properties of Secondhand Aerosols Generated from Electronic Nicotine Delivery Systems in Indoor Environments
表征室内环境中电子尼古丁传输系统产生的二手气溶胶的物理、化学和毒理学特性
  • 批准号:
    2204659
  • 财政年份:
    2022
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
Characterizing the Physical, Chemical, and Toxicological Properties of Secondhand Aerosols Generated from Electronic Nicotine Delivery Systems in Indoor Environments
表征室内环境中电子尼古丁传输系统产生的二手气溶胶的物理、化学和毒理学特性
  • 批准号:
    2204659
  • 财政年份:
    2022
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
Collaborative Research: PPoSS: LARGE: ScaleStuds: Foundations for Correctness Checkability and Performance Predictability of Systems at Scale
合作研究:PPoSS:大型:ScaleStuds:大规模系统正确性可检查性和性能可预测性的基础
  • 批准号:
    2118745
  • 财政年份:
    2021
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Novel Algorithms and Tools for Empowering People Who Are Blind to Safeguard Private Visual Content
协作研究:SaTC:核心:媒介:帮助盲人保护私人视觉内容的新颖算法和工具
  • 批准号:
    2126314
  • 财政年份:
    2021
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
Collaborative Research: Gateway to North America--the Great American Biotic Interchange (GABI) in Mexico and Origin of C4 Grassland
合作研究:北美门户——墨西哥大美洲生物交汇处(GABI)与C4草原起源
  • 批准号:
    1949814
  • 财政年份:
    2020
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments
职业:包容性隐私:针对视力障碍人士的有效隐私管理
  • 批准号:
    2028387
  • 财政年份:
    2019
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Continuing Grant
Collaborative Research: Element: Development of MuST, A Multiple Scattering Theory based Computational Software for First Principles Approach to Disordered Materials
合作研究:元素:MuST 的开发,一种基于多重散射理论的计算软件,用于无序材料的第一原理方法
  • 批准号:
    1931525
  • 财政年份:
    2019
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant
CNS Core: SMALL: Clarifying Experimenter Bias by Identifying and Visualizing Experiment Bottlenecks
CNS 核心:SMALL:通过识别和可视化实验瓶颈来澄清实验者偏见
  • 批准号:
    1908020
  • 财政年份:
    2019
  • 资助金额:
    $ 15.48万
  • 项目类别:
    Standard Grant

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