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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fundamentals-to-build-human-centered-ai-hcai-systems/
课程评论：没有评论
课程名称：构建以人为中心的人工智能（HCAI）系统基础 课程概述：本课程“以人为中心的人工智能：设计负责任的智能”是一个全面指导，致力于构建真正为人类服务的人工智能系统，而不仅仅是算法和数据集。在这个实用的课程中，您将学习如何创建伦理、透明、并真正增强人类能力的人工智能体验。人工智能正在改变各行各业，但许多系统并没有将人类置于中心，导致偏见、困惑和伤害。该课程为您提供框架、工具和实践技能，帮助您设计出能获得信任并为用户带来实际价值的更好人工智能。 通过真实案例研究、互动练习和实践设计挑战，您将学习如何： - 使用以人为中心的原则评估人工智能系统 - 在造成伤害之前识别潜在的偏见和伦理陷阱 - 设计有效的人机协作措施 - 创建透明、可控、公平的人工智能体验 - 在组织中实施伦理审查流程 无论您是设计人工智能产品、管理人工智能开发团队，还是在人工智能实施方面做出决策，本课程都将为您提供关于满足人类需求、价值和自主权的人工智能构建所需的知识和工具。 学习内容： - 理解以人为中心的人工智能核心原则及其与传统人工智能方法的区别 - 分析人工智能失败案例，识别HCAI原则如何能够避免这些失败 - 应用已建立的框架，如Google PAIR和Shneiderman的HCAI模型来评估人工智能系统 - 使用以人为中心的设计原则进行结构化的人工智能体验启发式评估 - 设计在透明性、代理权、公平性和效率之间取得平衡的人工智能系统 - 开发有效的人机协作模型，利用互补优势 - 制定在组织中实施伦理人工智能审查流程的策略 - 为特定应用领域构建全面的HCAI蓝图 课程要求： - 不需要编码或技术背景 - 基础的人工智能概念和工具知识有帮助但不是必要的 - 在产品开发、设计或技术管理方面的经验将是有利的 适合对象： - 与人工智能功能相关的产品经理或领导团队开发AI产品 - 将人工智能组件整合到用户界面和工作流程中的UX/UI设计师 - 希望构建更伦理和以用户为中心的系统的AI/ML工程师 - 在人工智能实施中做出战略决策的商业领导者 - 探索负责任人工智能开发的研究人员和战略家 - 确保责任人工智能使用的伦理官和合规专业人员 - 将设计思维应用于人工智能特定挑战的从业者 - 希望理解人工智能对人类影响的技术专业人员 课程结构： 模块1：什么是以人为中心的人工智能？ - 介绍HCAI的核心概念 - 比较以人为中心和传统人工智能方法 - 分析著名的人工智能失败案例及其人类影响 - 探索关键的HCAI原则：透明性、代理权、公平性等 模块2：为人类需求设计人工智能 - 实用HCAI框架概述（Google PAIR、Shneiderman、IDEO） - 使用以人为中心的原则评估人工智能体验的方法 - 对真实的人工智能工具进行现场审计，使用HCAI检查表 - 进行实践重新设计工作坊以改善人工智能系统 模块3：负责任的创新与人工智能未来 - 探索有效的人机协作模型 - 分析人工智能设计中的复杂伦理困境 - 在组织中实施伦理人工智能的战略模板 - 为现实应用领域创建HCAI蓝图 完成本课程后，您将拥有设计、评估和实施真正为人类服务的人工智能系统所需的实践技能和伦理框架，而不仅仅是算法。
Human-Centered AI: Designing Responsible Intelligence is your comprehensive guide to building AI systems that truly work for people-not just algorithms and datasets. In this practical, hands-on course, you'll learn how to create AI experiences that are ethical, transparent, and genuinely enhance human capabilities.AI is transforming every industry, but many systems aren't designed with humans at the center, leading to bias, confusion, and harm. This course equips you with the frameworks, tools, and practical skills to design better AI that earns trust and delivers real value to users.Through a combination of real-world case studies, interactive exercises, and hands-on design challenges, you'll learn how to:Evaluate AI systems using human-centered principlesIdentify potential biases and ethical pitfalls before they cause harmDesign for effective human-AI collaborationCreate AI experiences that are transparent, controllable, and fairImplement ethical review processes in your organizationWhether you're designing AI products, managing AI development teams, or making decisions about AI implementation, this course will give you the knowledge and tools to build AI that respects human needs, values, and agency.What You'll LearnUnderstand the core principles of Human-Centered AI and how they differ from traditional AI approachesAnalyze case studies of AI failures and identify how HCAI principles could have prevented themApply established frameworks like Google PAIR and Shneiderman's HCAI model to evaluate AI systemsConduct structured heuristic evaluations of AI experiences using human-centered design principlesDesign AI systems that balance transparency, agency, fairness, and efficiency through thoughtful trade-offsCreate effective human-AI collaboration models that leverage complementary strengthsDevelop strategies for implementing ethical AI review processes within organizationsConstruct a comprehensive HCAI blueprint for specific application domainsRequirementsNo coding or technical background requiredBasic familiarity with AI concepts and tools is helpful but not necessaryExperience with product development, design, or technology management is beneficialWho This Course Is ForProduct managers working with AI features or leading teams developing AI productsUX/UI designers integrating AI components into user interfaces and workflowsAI/ML engineers wanting to build more ethical and user-centered systemsBusiness leaders making strategic decisions about AI implementationResearchers and strategists exploring responsible AI developmentEthics officers and compliance professionals ensuring responsible AI useDesign thinking practitioners applying their skills to AI-specific challengesTechnology professionals seeking to understand the human impact of AICourse StructureModule 1: What is Human-Centered AI?Introduction to the core concepts of HCAIContrast between human-centered and traditional AI approachesAnalysis of famous AI failures and their human impactExploration of key HCAI principles: transparency, agency, fairness, and moreModule 2: Designing AI for Human NeedsOverview of practical HCAI frameworks (Google PAIR, Shneiderman, IDEO)Methodology for evaluating AI experiences using human-centered principlesLive audit of real AI tools using HCAI checklistsHands-on redesign workshop to improve AI systemsModule 3: Responsible Innovation & AI FuturesExploration of effective human-AI collaboration modelsAnalysis of complex ethical dilemmas in AI designStrategic templates for implementing ethical AI in organizationsCreation of an HCAI blueprint for real-world application domainsBy the end of this course, you'll have the practical skills and ethical framework to design, evaluate, and implement AI systems that truly work for people, not just algorithms.
