This course has now taken place.

Data Ethics is an emerging branch of applied ethics which describes the value judgements and approaches we make when generating, analysing and disseminating data.

The explosion in personal data and advances in technology, such as machine learning and artificial intelligence; has created fantastic opportunities for your organisation to deliver better services, but also significant responsibilities on how you use and manage personal data.

By understanding the growing practice of data ethics and the government’s Data Ethics Framework, you will be able to embed data ethics practices within your organisation, when managing data and new technology projects.

This Applying Data Ethics training course gives you a firmer understanding of data ethics, the data ethics framework, aligning data ethics practices with data protection legislation, improving accountability and transparency, embedding data use responsibly, and a data ethics toolkit to take back to your organisation.

Attend this Applying Data Ethics course to gain the necessary tools to embed data ethics within your organisation.

About the Chair: Anne Alexander
Anne Alexander is Director of the Learning Programme at Cambridge Digital Humanities, which helps Cambridge students, researchers and staff equip themselves with the tools and methods they need to carry on delivering world-class and world-changing research and teaching. Her research interests include ethics of big data, activist media in the Middle East and the political economy of the Internet. She is a member of the Data Ethics Group at the Alan Turing Institute, which is made up of academics specialising in ethics, social science, law, policy-making, and big data and algorithms, the Data Ethics Group drives the Institute’s research agenda in data ethics and works to provide guidance on ethical best practice in data science. Anne is also a member of the Steering Group of the Trust and Technology Strategic Research Initiative.