Category: AI Data and Society

Resisting AI: An Anti-fascist Approach to Artificial Intelligence – review

In Resisting AI: An Anti-fascist Approach to Artificial Intelligence, Dan McQuillan calls for a restructuring of artificial intelligence (AI) which prioritises the common good over an algorithmic optimisation that reinforces the marginalisation of vuln…

Who is the better forecaster: humans or generative AI?

The ability to forecast and predict future events with a degree of accuracy is central to many professional occupations. Utilising a prediction competition between human and AI forecasters, Philipp Schoenegger and Peter S. Park, assess their relative a…

Using AI for social benefit – WeNet and community focused social media

The internet has proven to be a successful mechanism at finding social and cultural commonalities across space and time, but what would an internet based on highlighting diversity look like and what social dynamics would this create? Reporting findings…

Generative AI – the latest scapegoat for research assessment

Reflecting on the debate around generative AI and its impact on scholarly communication, Danny Kingsley argues, much like open access twenty years earlier, AI holds a dark mirror to enduring flaws in research publishing and assessment. It has been inte…

The gap between AI practitioners and ethics is widening – it doesn’t need to be this way

The application of AI technologies to social issues and the need for new regulatory frameworks is a major global issue. Drawing on a recent survey of practitioner attitudes towards regulation, Marie Oldfield discusses the challenges of implementing eth…

Can generative AI add anything to academic peer review?

Although generative AI applications promise efficiency and can benefit the peer review process, given their shortcomings and our limited knowledge of their innerworkings, Mohammad Hosseini and Serge P.J.M. Horbach argue they should not be used independ…

Preparing for the coming wave of generative AI in journalism

The release of popular generative AI technology to the public last year has created a range of responses, particularly in fields dependent on creativity and information processing. In this Q&A Maayan Arad talks to Charlie Beckett about how generati…

How to design teaching and learning through an AI-centred course

Drawing on their experience of designing higher education courses centred on AI tools, Bert Verhoeven and Vishal Rana discuss how, rather than being a threat, AI can be used in ways that are compatible with traditional teaching methodologies and offer …

Superficial engagement with generative AI masks its potential contribution as an academic interlocuter

The value of generative AI is often dismissed after it fails to produce coherent academic responses to single prompts. Mark Carrigan, argues that careless use of generative AI fails to engage with more interactive ways in which it can used to supplemen…

Can AI help with the heavy lifting of research communications?

Considering the key skills required for effective research communication, Andy Tattersall, discusses how he has used AI tools to augment his work and what this might mean for academics and professionals looking to engage wider audiences. Depending on w…