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An introduction to data ethics and responsible AI

Data ethics is a rapidly emerging area, as data is the foundation upon which AI tools are trained and deployed. Increasingly, those collecting, sharing and working with data are exploring the ethics of their practices and, in some cases, being forced to confront those ethics in the face of public criticism.

A failure to handle data ethically or ensure that AI tools are deployed responsibly can harmfully impact people and lead to a loss of trust in projects, products or organisations.

In this three-hour online course, run by our experts, you will be given an introduction to the concept of data ethics, how data ethics links to the responsible use of AI tools, how ethics is addressed in other domains, and how data ethics can be applied to help organisations avoid harmful impacts and increase trust in new products and services.

Register Interest Request Info
Delivery: Blended
Study Hours: 3 h
Duration: 3 h
ODI members price:
£128 + VAT
Early bird price:
£135 + VAT
General admission price:
£150 + VAT
Early bird available if purchased 3 months prior to start date

To ensure inclusivity, we offer discounted pricing for customers from lower or middle-income countries.
Please contact us for further information.

If you represent a business interested in purchasing four or more course spaces, please reach out to us for personalised discounted rates.

More about the course

Who is this course for?

This course is introductory and jargon-free. It is intended for anyone working in public, private and third-sector organisations who wants to become familiar with data ethics and start to bring it into their organisation.

The course will be attended by people from multiple organisations. We recognise that people may not want to discuss some of their current ethical issues in front of other organisations, therefore this workshop uses real-world examples to bring the topic to life.




Course prerequisites

No previous knowledge of data is required. An understanding of how data is used in your organisation will help you apply what you learn and take practical action.

Learning experience and course delivery

In the three-hour course you will cover:

  • An introduction to the concept of data ethics.
  • How ethics is addressed in other domains.
  • How data ethics can be applied to help organisations avoid harmful impacts.
  • How to increase trust in new products and services.

Each course is limited to 18 participants, to ensure they are interactive, and that you get the support you need.

By the end of this session you will be able to:

  • Define the difference between morals, ethics and law
  • Explain why data ethics applies to more than just the use of data
  • Apply the data ethics canvas to evaluate projects involving data
  • Make a number of recommendations to improve the ethical handling of data
Course Cost
The course cost: 

ODI members: £128 (+VAT where applicable) (from 18.09.23)
General admission: £150 (+VAT where applicable)

Not an ODI member?

You can join as an individual for £100.

Organisations can join and share the training discount across their entire business. The cost for organisations is between £360 and £2,200, depending on sector and size.

Click here to find out more about ODI membership. 

Running this course with your team

This course can be run for groups of up to 18 people. And, we can tailor our content to your context and needs.

We can work with you to identify the data skills required across your business, creating training that meets your organisation’s needs.

Contact our Data Skills Experts to discuss how we can improve your organisations data literacy.



FAQs

How many places/people are on each course? 

Each course date will consist of up to 18 participants.

Is there a limit to the number of people from my company that can attend?

Yes, there is a maximum of 3 places per organisation. If you are interested in booking more than 3 places for your organisation, please contact training@theodi.org.

About this course

This course was created by and is © The Open Data Institute. It was developed with the help of funding from the Erasmus+ programme of the European Union under the Open Data Education project.

What you'll learn

An introduction to the concept of data ethics
How data ethics can be applied to help organisations avoid harmful impacts.
How ethics is addressed in other domains
How to increase trust in new products and services

Course instructors

Dr David Tarrant
Dr David Tarrant
Academic Lead
Kay-Achenbach
Dr Kay Achenbach
Data Trainer

An introduction to data ethics and responsible AI
Watch the video for a brief overview from one of our expert tutors

Put your data ethics knowledge to the test

Take our quiz

Learning Pathway: Become a Data Ethics Professional

ODI learning pathways_IDE-1

Further progress towards enhancing your expertise by enrolling in our Data Ethics Professional (DEP) course.

DEP is tailored for professionals and practitioners who actively manage or utilise data to shape business strategy and day-to-day decision-making processes.
This course encompasses various activities such as data organisation, analysis using spreadsheet software or BI tools, and interpreting data outputs for effective communication with stakeholders.
ODI learning pathways_IDE b

Introduction to Data Ethics
& Data Canvas
Understanding Data Ethics & AI (coming soon)

Data Ethics Professional
(DEP)

Further progress towards enhancing your expertise by enrolling in our Data Ethics Professional (DEP) course.

DEP is tailored for professionals and practitioners who actively manage or utilise data to shape business strategy and day-to-day decision-making processes.
This course encompasses various activities such as data organisation, analysis using spreadsheet software or BI tools, and interpreting data outputs for effective communication with stakeholders.
Digital Analyst, Boots

"The assignments were the highlight of the course. They were well designed – it’s good to use real live data from a different sphere than I’m used to working in. And I really liked how they built on the previous assignment learnings.”

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