The Academic Fringe Festival - Building public service recommenders: Logbook of a journey
Responsible Use of Data seminar series
19 July 2021 16:00 | Add to my calendar
by Alessandro Piscopo | BBC, Datalab
Abstract
The BBC is one of the world's leading broadcasters, producing a large amount of content including video, audio and text, spanning topics such as news, sport, education, and entertainment. In order to fulfil its public service remit, the BBC must serve all its audiences, providing each audience member with the most relevant and engaging content for them.
Up to now, manual curation has been the main approach used by the organisation to achieve that. However, that is unable to scale and to be tailored to each user. To support the BBC in developing and deploying recommendations at scale our team, Datalab, has taken an approach centred around the collaboration across teams and different professional figures, i.e. product, editorial, and data people, and around the concept of public service AI. In this talk, Alessandro reflects upon the challenges and lessons learnt in the years since the creation of our team.
Speaker Biography
Alessandro Piscopo is a principal data scientist at the BBC, in a team called Datalab. His work focusses on developing and deploying public service recommendations algorithms across the organisation, to connect BBC audiences with relevant content. During his PhD, obtained in 2019 at the University of Southampton, Alessandro studied the effects of socio-technical dynamics on data quality in collaborative knowledge engineering projects. His current interests include online collaboration, knowledge graphs, and fairness and ethics in AI.
More information
In this second edition on the topic of "Responsible Use of Data", we take a multi-disciplinary view and explore further lessons learned from success stories and examples in which the irresponsible use of data can create and foster inequality and inequity, perpetuate bias and prejudice, or produce unlawful or unethical outcomes. Our aim is to discuss and draw certain guidelines to make the use of data a responsible practice.
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