|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ethical-and-regulatory-implications-of-generative-ai
课程评论：没有评论
课程名称：生成性人工智能的伦理与监管影响 课程概述：全球人工智能市场预计到2028年将达到9977.7亿美元。随着人工智能技术迅速融入各个行业，理解其伦理和监管影响变得愈发重要。本短课程旨在帮助技术、法律和政策领域的专业人士全面理解生成性人工智能的伦理与监管环境。 课程学习目标：完成本课程后，您将能够自信地识别生成性人工智能的潜在风险，理解伦理和监管框架，并开始为组织制定内部合规标准，以及最佳实践。 课程大纲： 1. 第一课：人工智能存在真实风险，您拥有选择的权力！ - 本课将深入探讨人工智能可能带来的挑战与危险，包括隐私问题和决策偏见。您将不仅意识到与人工智能相关的真实风险，还将掌握做出明智决策所需的知识和工具。 2. 第二课：导航生成性人工智能的全球监管环境 - 本课结束时，您将能够区分欧盟和美国对人工智能监管的不同方法，特别是欧盟基于风险的框架与美国基于行业的政策及其不同的执行政策。我们还将考察包括微软在内的各公司所制定的内部指导方针，同时讨论行业需建立更广泛的共同指导方针和原则的必要性。 3. 第三课：开始制定您的内部指导方针 - 一切始于人员和责任。在本课中，我们将识别出制定内部标准和指南的最佳实践，以便组织遵守生成性人工智能的相关法规，从而建立全面的生成性人工智能治理框架。
Name:Ethical and Regulatory Implications of Generative AI
Description:By the end of this course, you will be able to recognize the potential risks associated with Generative AI, understand the ethical and regulatory landscape, and begin to develop internal standards for organizational compliance, accompanied by best practices.
Name:Lesson 1: AI has Real Risks. You Have Agency!
Description:From this lesson, you will gain a deep understanding of the challenges and dangers that AI can pose—ranging from privacy concerns to decision-making biases. You will not only be aware of the real risks associated with AI but also be equipped with the knowledge and tools to make informed decisions about AI usage.
Name:Lesson 2: Navigating the Global Regulatory Landscape of Generative AI
Description:By the end of this lesson, you will be able to differentiate between the EU and US approaches to AI regulation, particularly around the EU risk-based framework versus the US sector-based policy and the different enforcement policies. We will also look at individual companies including Microsoft who have their own internal guidelines, yet there is a perceived need for broader, industry-wide initiatives that establish common guidelines and principles.
Name:Lesson 3: Getting Started with Developing your Internal Guidelines
Description:It all starts with people and accountabilities. In this lesson, we will identify key best practices for developing internal standards and guidelines for organizational compliance with generative AI regulations to establish a comprehensive generative AI governance framework.
Did you know that the global AI market size is projected to reach $997.77 billion by 2028? As AI technologies rapidly integrate into every sector, understanding their ethical and regulatory implications has never been more critical. This Short Course was created to help professionals in tech, law, and policy accomplish a thorough comprehension of the ethical and regulatory landscape surrounding Generative AI. By completing this course, you'll be able to confidently navigate and implement strat
