Artificial Intelligence (AI) has become an integral part of our daily lives. However, its omnipresence brings forth complex ethical issues revolving around safety, intellectual property, privacy, and responsible use. This introductory course aims to provide a comprehensive overview of these issues, fostering constructive discussions and exploration of ethical AI principles, challenges, and best practices while experimenting with tools and prompting new ways to generate content.


Ethical AI: AI essentials for everyone
包含在 中
您将获得的技能
要了解的详细信息

添加到您的领英档案
September 2025
6 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有5个模块
This module aims to lay the groundwork for understanding the historical context and evolution of AI and ethics. The module explores the definitions of AI, Machine Learning, and related technologies, setting the stage for a deep dive into the ethical dimensions of AI.
涵盖的内容
3个视频2篇阅读材料1个作业1个讨论话题1个插件
Module 2 aims to deepen the understanding of the key principles of Ethical AI, focusing on fairness, accountability, transparency, safety, and privacy in AI systems. The module also delves into the ethical decision-making processes inherent in AI.
涵盖的内容
2个视频1篇阅读材料1个作业2个插件
In module 3 the focus is on delving into AI tools for text and image generation, understanding their functionalities, and guiding participants in choosing the right tool based on specific goals. The module includes an activity where students create a personal repository of AI tools and rank them based on ethical and effective criteria.
涵盖的内容
2个视频1篇阅读材料1个作业2个插件
Module 4 is dedicated to shedding light on case studies that demonstrate the ethical application of different prompts, offering participants insights into employing user-centred approaches to create inclusive, accessible, and useful content.
涵盖的内容
2个视频1篇阅读材料1个作业1个插件
Module 5 is dedicated to navigating the landscape of AI challenges and opportunities. It aims to explore the potential of AI for creating new job opportunities, enhancing efficiency, and preparing individuals for a career in a world increasingly shaped by AI systems.
涵盖的内容
2个视频1篇阅读材料2个作业1个讨论话题1个插件
位教师


从 Machine Learning 浏览更多内容
- 状态:预览
Kennesaw State University
- 状态:免费试用
Fractal Analytics
- 状态:预览
Johns Hopkins University
- 状态:免费试用
Politecnico di Milano
人们为什么选择 Coursera 来帮助自己实现职业发展




常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金,