In today's data-driven AI era, compliant and ethical use of data is more crucial than ever.  We will explore and understand the impact and importance of data ethics for individuals, companies, and the wider society.  We will highlight the nuanced relationship between ethics and data ethics. Using practical examples we will discuss the harms of unethical innovation and data practices as well as the benefits of data ethics.  We will also highlight the relationship between data ethics and AI ethics, and introduce the strategies to implement them. 

Ethics  before  data ethics

Tricky ethics

Similarly different

Beyond do no harm

Moral data science

The ethics advantage

Data ethics and AI ethics

Fuel and engine

Data ethics or AI ethics?

Understanding Data Ethics

The chapter provides learners with practical knowledge and examples of the importance and implementation of data ethics in the different stages of the data lifecycle. The chapter covers the practical aspects of crucial data ethics concepts of data protection and security,  informed consent, trust and transparency, and accountability.

Ethics issues across data life cycle

Data ethics best practices

Best practices all along

Valid consent

Options

Required for informed consent

Not compatible with informed consent

What's in a consent form?

That doesn't seem valid

Data privacy and security

Data privacy

Data security

Privacy or security?

Better be safe than sorry

Transparency and accountability

Nothing to hide!

A role for everyone

A role for everyone!

Data Ethics: Now and Forever

This chapter focuses on data ethics that go beyond the usual discussions on data bias and fairness. Learners will better understand data-related biases and how to deal with them. They will also learn about the FAIR- Findable, Accessible, Interoperable, and Reusable data principles for sharing data openly. They will also understand the benefits of open data for science and society. Finally,  learners will explore the evolving accountability and impact of data operations, emphasizing the moral responsibility of company leaders and data scientists and preparing for the future of data ethics. 

What do we do with data biases?

All is not fair in data

Can we fix it all?

Fair data or FAIR data?

Reusing data

What's FAIR again?

Open data for science and society

Why share?

Sharing is caring

Evolving accountability and impact

Meaningful accountability

Through ethics and thin

Congratulations!

Data for Good

This introductory course on data ethics will provide learners with the essentials of data ethics concepts and what they mean in practice- be it in business, R&D, or for societal benefit. The course covers the principles of data ethics, its relationship with AI ethics, and its characteristics across the different stages of the data lifecycle. The course highlights how data ethics can promote fairness, reduce biases, and promote social good while addressing data protection, security, trust, and transparency. Learners will gain practical skills, including drafting informed consent forms and identifying the ethical impacts of data operations. By the end of the course, learners will have an essential understanding of data ethics. The course will equip them to identify and improve data ethics-related situations professionally and personally.



<h2>Explore the Basics of Data Ethics</h2>
This introductory course on data ethics will provide learners with the essentials of data ethics concepts and what they mean in practice- be it in business, R&D, or for societal benefit. The course covers the principles of data ethics, its relationship with AI ethics, and its characteristics across the different stages of the data lifecycle. 
<br><br>
<h2>Learn the Art of Data Ethics Principles</h2>
The course highlights how data ethics can promote fairness, reduce biases, and promote social good while addressing data protection, security, trust, and transparency. Learners will gain practical skills, including drafting informed consent forms and identifying the ethical impacts of data operations. By the end of the course, learners will have an essential understanding of data ethics. The course will equip them to identify and improve data ethics-related situations professionally and personally.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Introduction to Data Ethics Course | Master Fair & Ethical Data Practices

Introduction to Data Ethics

Data Skills for Business

Check for biases and privacy aspects in datasets before using them in projects.

Set up data access controls to prevent unauthorized access as well as data loss and breaches.

Implement checks to make sure that data sharing outside the company adheres to data ethics standards.

Set up a strategy to build and implement a data ethics policy and training roadmap.

A role for everyone!

Introduction to Data Ethics

Hands-on interactive exercise