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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-security-risks-data-protection-and-ethics/
课程评论：没有评论
课程名称：员工的生成性人工智能：安全风险、数据隐私与伦理 概述：本课程旨在教导学员如何在工作中安全地使用生成性人工智能工具，如ChatGPT，保护数据和隐私，并了解使用生成性人工智能时的安全风险及伦理问题。生成性人工智能正在全球各行业中变革，成为专业人士提高生产力的催化剂，运用于写邮件、数据分析、报告总结及商业策略提案等场景。然而，这一强大工具也带来了数据泄露、安全漏洞和伦理问题等新挑战。课程专为员工、管理层及团队设计，帮助他们理解在工作环境中使用生成性人工智能工具时的安全风险、责任及最佳实践。无论是早已采用生成性人工智能的组织，还是刚开始迈出这一步的团队，本课程都将帮助参与者了解潜在的安全风险、数据泄漏的可能性，并提供安全、合规、伦理地使用生成性人工智能工具的最佳实践。 学习内容： - 理解生成性人工智能的基本概念及其对全球职场的影响 - 了解提示如何导致数据泄漏并学习如何降低风险 - 分析生成性人工智能工具产生的输出如何可能导致数据泄露或安全 breaches - 识别恶意提示注入攻击及避免方法 - 确定并降低跨账户访问和阴影生成性人工智能的风险 - 利用实用策略减少数据泄漏和安全漏洞 - 在使用人工智能时应用透明性、诚实性和公正原则 - 识别并理解常见的伦理问题，如剽窃、原创性和人工智能误表述 - 应用负责任的人工智能使用原则，降低剽窃风险，确保原创性和真实性。
Learn how to use Generative AI tools like ChatGPT safely at work - protect data, privacy and learn about security risks when using GenAI. Learn how to use Generative AI ethically.Generative AI is transforming all industries across the world and is a multiplier for productivity for professionals across the board - from writing emails to analysing data, summarising reports as well as proposing business strategies. However, with this great power, AI also introduces new challenges of data leaks, security breaches, and ethical issues.This course is designed to help employees, managers, and teams understand the security, risks, responsibilities, and best practices when using Generative AI tools like ChatGPT in a work environment.Whether your organisation has adopted GenAI revolution a while ago, or has just started its journey, this awareness training course with help you understand the underlying security risks, data leakage possibilities as well as offer best practices to use Generative AI tools like ChatGPT securely, ethically, and in line with workplace compliance.What You'll LearnUnderstand the fundamentals of Generative AI and its impact on workplaces around the worldUnderstand how prompts can lead to data leakages and how to mitigate those risksAnalyse how output generated by GenAI tools can still lead to data leaks or security breachesRecognise malicious prompt injection attacks and how to avoid themIdentify and mitigate risks of cross-account access and shadow GenAILeverage practical strategies to mitigate data leaks and security breachesApply the principles of transparency, honesty and fairness when using AIRecognise and understand common ethical issues such as plagiarism, originality and AI-misrepresentationApply Responsible AI use principles - mitigating plagiarism and ensuring originality and authenticity
