Responsible Automated Intelligence (AI) Ethics Fundamentals

所在平台: Udemy

课程主页: https://www.udemy.com/course/responsible-automated-intelligence-ai-ethics-fundamentals/

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课程名称:负责任的自动化智能(AI)伦理基础 课程概述:本课程旨在帮助商业专业人士了解人工智能(AI)中的伦理重要性,以及负责任的AI在组织中的作用。它适合初学者,并提供全面的AI伦理概述和负责任AI的必要性。通过结合洞见和演示,学习者将能制定保障其AI项目伦理的路线图。AI伦理是一套道德原则和技术,用于指导人工智能技术的开发和负责任使用。负责任的AI是一系列文档,确保AI在一个“负责任”的框架下使用,具有预定义的原则、伦理和规则。 学习预期成果:课程结束时,学习者将掌握以下内容: - 理解伦理及其在AI中的重要性 - AI中的伦理框架和原则 - AI开发中的伦理挑战 - AI中的偏见与公平性问题 - AI的透明度 - AI的问责制与治理 - AI隐私问题:数据收集与使用 - 确保AI系统的风险与缓解策略 - AI中的伦理数据管理 - AI与劳动力:自动化与就业替代 - 伦理AI领导力和组织文化 - AI与社会福祉:利用AI促进积极影响 - 伦理AI政策及倡导 课程内容简介: 1. 课程欢迎与介绍 2. 模块一:AI伦理的基础 - 理解AI伦理 - 伦理框架与原则 - 伦理挑战 - 负责任AI的关键原则 3. 模块二:负责任的AI开发 - 开发负责任的AI - AI中的偏见与公平性 - AI的透明度 - 责任与治理 4. 模块三:AI中的隐私与安全 - 数据收集与使用 - 风险与缓解策略 - 伦理数据管理 5. 模块四:AI的社会与伦理影响 - 自动化与就业替代 - AI的社会良善 6. 模块五:政策发展 - 伦理AI领导文化 - 伦理AI政策要素 - 变化中的伦理AI 课程资源包括课程演示(PDF)、电子书及学习指南(PDF)、课程资源清单(PDF)和完成证书。 本课程旨在帮助学习者理解AI伦理的重要性,并识别和减轻潜在风险,让我们一起开始学习AI伦理吧!

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Learn about the importance of Ethics in AI and the role of Responsible AI in your organization.(Beginner) This course has been designed for business professionals needing a well-rounded introduction to Ethics for Automated Intelligence (AI) and why Responsible AI is essential.In the course, we provide both insights and demonstrations to help you get started on your roadmap for ensuring Ethics in your AI projects.AI Ethics is a system of moral principles and techniques intended to guide the development and responsible use of Artificial Intelligence (AI) technology.Responsible AI is a set of documentation used in an organization to ensure that AI is used in a "responsible" framework with pre-defined principles, ethics, and rules to govern AI.This course will guide you through the importance of Automated Intelligence (AI) Ethics with a focus on Responsible AI principles and implementation.Expected Learning OutcomesAt the end of the course, the learners will be able to be acquainted with the following.Understanding Ethics and Its Importance in AIEthical Frameworks and Principles in AIEthical Challenges in AI DevelopmentBias and Fairness in AITransparency in AIAccountability and Governance in AIPrivacy Issues in AI: Data Collection and UsageSecuring AI Systems: Risks and Mitigation StrategiesEthical Data Management in AIAI and the Workforce: Automation and Job DisplacementEthical AI Leadership and Organizational CultureAI and Social Good: Leveraging AI for Positive ImpactEthical AI PolicyAdvocating for Ethical AI Policy and RegulationEthical Considerations in AI Research and DevelopmentEthical AI Policy and Future DirectionsWelcome to the CourseCourse LessonsCourse WelcomeInstructor IntroductionDownload Course ResourcesModule 1 - Introduction to AI EthicsUnderstanding AI EthicsEthical Frameworks and Principles in AIEthical ChallengesWhiteboard - Key Principles of Responsible AIModule 2 - Responsible AI DevelopmentResponsible AI DevelopmentBias and Fairness in AITransparency in AIDemonstration - Microsoft Responsible AIAccountability and Governance in AIModule 3 - Privacy and Security in AIData Collection and UsageRisks and Mitigation StrategiesEthical Data Management in AIDemonstration - Examples of Privacy EULModule 4 - Social and Ethical Impacts of AIAutomation and Job DisplacementAI and Social GoodDemonstration - ChatGPTDemonstration - BardModule 5 - Policy DevelopmentEthical AI Leadership CultureEthical AI Policy ElementsEthical AI in a Changing LandscapeCourse ReviewCourse CloseoutCourse Contents - What's included with the course?Course Presentation (PDF)Companion eBook and Study Guide (PDF)Course Resource List (PDF)Certification of CompletionAI has the potential to do a lot of good in the world, but it can also be misused. Understanding AI ethics can help you to identify and mitigate potential risks. So, let's get started with the course and learn about AI Ethics!

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