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

Data ethics focus

Both general ethics and data ethics

Beyond do no harm

Moral data science

The ethics advantage

Data ethics and AI ethics

Fuel and engine

Options

Data ethics

AI ethics

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

Best practices all along

Valid consent

What's in a consent form?

That doesn't seem valid

Data privacy and security

Privacy or security?

Better be safe than sorry

Transparency and accountability

Nothing to hide!

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. 
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<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

Keterampilan Data untuk Bisnis

Cambridge Analytica collected data for research purposes but used it for profiling and targeted ads to sway voter behavior.

IPCC’s Data Distribution Centre collects and openly shares data on climate change from around the world to collectively fight climate change.

In 2019, after a massive data breach in Facebook, the personal data of 533 million users were leaked online. 

Ocean CleanUp uses object detection models to study floating macroplastic litter to reduce plastic pollution in the oceans.

The impact of AI-generated art on the livelihood of artists. AI models that generate art are trained upon the creative artworks of humans.

Apple's credit card algorithm offered less credit to women compare to men for the same credit score without a good explanation for the outcome.

Data ethics or AI ethics?

Introduction to Data Ethics

Latihan interaktif praktis