AI and algorithmic decision-making tools already influence many aspects of our lives and are likely to become increasingly embedded within businesses and governments. Drawing on recent research and examples from across the social sciences, Frederic Ger…
Category: AI Research
Tell me what you read (or watch) and I will tell you what you research: The two-way street between science and literature
Literature and in particular science fiction is often seen as being prefigurative to the development of science and technology. Whilst this can on occasion be the case, drawing on a study of AI researchers and their reading and viewing material, Sarah …
We need better AI imagery for better science communication
Current images of AI – widely used and available in stock libraries – are dominated by tropes such as white humanoid robots, blue backgrounds, glowing brains and science fiction imagery. Research into narratives as forms of sense-making AI …
2019 In Review: Research Tools & Tech
Digital technologies continue to reshape and reimagine core research practices, from transcribing interviews, to creating entire texts autonomously. This list brings together some of the top posts on research technologies that have featured on the LSE Impact Blog in 2019. Disrupting transcription – How automation is transforming a foundational research method The transcription of verbal and non-verbal social interactions is […]
Is openness in AI research always the answer?
As research into AI has become more developed, so too has the understanding that AI research might be misused. Discussing OpenAI’s recent decision to withhold the source code for an algorithm designed to replicate handwriting, citing concerns for the public good, Gabrielle Samuel argues that blanket commitments to openness are insufficient to protect against the potential ‘dual-use’ of AI research […]