Data Science: Ethical decision-making in practice

Data Science: Ethical decision-making in practice

位教师：Robbie Morgan

访问权限由 New York State Department of Labor 提供

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

How to apply professional ethics to real data science work.
How to make ethical, informed decisions when planning and evaluating data projects.
How to understand responsibility and assess the possible consequences of AI within a project context.

您将获得的技能

要了解的详细信息

作业

1 项作业

授课语言：英语（English）

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该课程共有2个模块

Learn how to make ethical and responsible decisions in real data science projects. This course introduces the foundations of data ethics, professional ethics, and ethical decision-making, giving you the tools to appraise project methods with confidence.

You’ll explore how responsible choices shape outcomes, how to recognise risks in data- driven work, and how to apply ethical frameworks throughout the project lifecycle. Designed with practical application in mind, the course helps you build the judgement needed for working in modern data science roles. By the end, you’ll understand the conditions for responsibility, be able to evaluate methodological decisions, and feel equipped to navigate ethical challenges in data-intensive environments.

In this short course, you will explore the features and practices common to professions and consider whether the field of data science should professionalise or not. You will also examine the conditions for responsibility and apply them to the possible consequences of data science. You will evaluate the value of professions having their own codes of ethics and what the implications could be for your practice in the field of data science. Finally, you will consider the circumstances under which data scientists may have a responsibility to speak out against wrongdoing.