The Ada Lovelace Institute is working with the British Broadcasting Corporation (BBC) to explore the development and use of recommendation systems (also referred to as ‘recommendation engines’) in public-service media. In particular, we will be looking at how public-service values are operationalised, what optimisation means in this context, the particular ethical considerations that arise, and how organisations seeking to serve the public can minimise risks and maximise social value. The project is supported by the Arts and Humanities Research Council (AHRC).
Recommendation systems are special-purpose software programs that suggest products, services and content to a user of an online service. They are usually a feature of a larger program or platform and are widely used in a variety of online commercial services, including shopping, television, news and music. The recommendations are often based on the stated or inferred preferences of users and people with similar profiles or preferences, or on relationships between users’ previous behaviour and the suggested content.
Well-known examples of recommendation systems include Netflix’s recommendations for films and TV shows, Tik Tok’s ‘For You’ page, Google Search’s autocomplete function and Amazon’s recommendations for related products.
However, the prevalence of recommendation systems has raised a number of questions about their ethical impact:
- Personal autonomy: There are concerns about recommendation systems nudging users of services towards a particular outcome, which may be commercially beneficial to the service but potentially harmful to the welfare of the user.
- User profiling: Predictions for suggested content may stem from assumptions about the user’s demographic information, which may in turn entrench societal biases and inequalities.
- Privacy: Systems often require the collection, storage and use of large amounts of personal data.
- Transparency and explainability: Recommendation systems, particularly those based on modern machine learning techniques, often produce decisions that are difficult to explain to lay audiences.
- Polarisation: There are concerns about the polarising effects within societies of recommendation systems that deliver a personalised perspective of news, media and current events.
The use of recommendation systems by public-service media organisations like the BBC adds another layer of ethical complexity.
Unlike private-sector firms, whose business model is motivated by shareholder interests and profit, public-service organisations are beholden to the public interest. The BBC, and other public-sector media, have explored using recommendation systems as both a way to compete with private-sector competitors and to more effectively meet their public-service objectives.
However, there remains a lack of research into the ethics of recommendation systems used in these contexts, and therefore a lack of clear guidance for how public-sector organisations should consider designing and implementing such systems.
Through this project, the Ada Lovelace Institute will be investigating how public-service values are operationalised and optimised for in the development of recommendation systems, what kinds of ethical considerations may arise in using these technologies to serve public-service ends, and how organisations seeking to serve the public can minimise those risks while maximising social value.
By undertaking a literature review and qualitative interviews with the BBC and other national public broadcasters, academics and developers, Ada hopes to:
- set out how public-service media organisations translate their values into practical implementations of recommendations systems
- develop the evidence base on the use of recommendation systems in the area of public-service media, which touches the lives of a significant proportion of the population as a common source of news and entertainment
- develop potential governance and mitigation strategies that could minimise ethical risks while maximising social benefit, providing a guide to trustworthy and socially beneficial practice within public-service media and in the wider community of those looking to build recommendation systems for the public benefit
- highlight future research questions and practical governance experiments to be explored in this area.
We are grateful to the Arts and Humanities Research Council (AHRC) who have supported this work with a £100k grant. Ada’s relationship with the BBC is governed by a memorandum of understanding (MOU), which is available here.
Image credit: British Broadcasting Company
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