Big Data, Artificial Intelligence, and Ethics


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Course Description

Big Data, Artificial Intelligence, and Ethics examines some of the most pressing ethical issues raised by social data. It introduces participants to key philosophical tools for addressing such problems and will enable participants to identify and respond to new ethical challenges in this area. It will equip participants to identify and reflect on new ethical issues and challenges raised by the use of social data and prepare participants to be able to formulate guidelines for the ethical use of social data.

On successful completion of the CPD, students will receive a Certificate of Completion.

What topics will you cover?

This CPD on the philosophy and ethics of social data will critically examine the ethical and philosophical issues raised by social data. It will cover topics such as digital identity, algorithmic fairness and diversity, transparency of data and algorithms, privacy and data protection. It will adopt an interactive approach and the discussion will revolve around concrete case studies and examples.

Who is this course for?

The target learner cohort are participants working in the private sector, for example ICT, finance, banking sectors. Participants should also have access to a laptop with camera and a microphone.

This CPD is part of a programme of Continuous Professional Development in the area of Applied Social Data Analysis that the School of Social Sciences and Philosophy will deliver from Spring 2022. Addressing the scarcity of training in data science in Ireland and co-created with key industry partners, the Applied Social Data Analysis CPD programme trains participants in the fundamental knowledge and skills of social data analysis. The programme goes beyond social data analytics to address causal analysis and consider social issues that are important to industries such as inequality, unemployment, climate change and ethics. This CPD will be of interest to individuals who wish to progress their careers through acquiring valuable social data analysis skills that are widely sought after in the private, public and non-profit sectors.

Who teaches the course?

Dr William Ratoff, Department of Philosophy, School of Social Sciences and Philosophy, Trinity College Dublin.

How is the course delivered?

A week-long intensive programme (5 hours a day) commencing Monday, August 22nd on campus in Trinity College Dublin.

This will be preceded by 2 hours of preparatory online instruction. Additionally, participants will undertake 20 hours of self-study over the course of the programme and complete a combination of in-class and 1 take home exercise. One additional week will be included for submitting CPD exercises.

Big Data, Artificial Intelligence, and Ethics

One of six new in-person CPD courses offered by the School of Social Sciences & Philosophy. Speaker: Dr. William Ratoff

Course Fees

The module fee is €1,500.


Registration closing date

August 22nd 2022

How do I register and pay for the course?

Places are limited as class sizes are small, up to 30 per class so you can enrol now to secure your place or send us an enquiry if you have any questions.

You can enrol on the course directly via the PayPal link below by selecting which mode of delivery you wish to take (5 consecutive weeks or one week intensive). The course fee of €1,500 includes access to the course materials via Blackboard (Trinity’s Virtual Learning Environment) for the duration of the course. Please note that participation in this CPD course does not include access to the Trinity Library or any other student services (including a student identity card). For employers wishing to pay for employees' registration via invoice, please contact Mr Shane Fitzgerald at


Enrol Now

Big Data, Artificial Intelligence, and Ethics (Week Long Intensive) Price €1,500
A week-long intensive programme (5 hours a day) commencing Monday, August 22nd on campus in Trinity College Dublin.

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Get in Touch

You can contact Shane Fitzgerald, External Relations Manager in the School of Social Sciences and Philosophy at for further details about applying for the module. For further details about the content of the module, you can contact the module lecturer, Dr. William Ratoff at