An industry-led debate: how UK media cover artificial intelligence

By J. Brennen, Philip N. Howard, Rasmus Nielsen. 2018

121 citations recorded by the source corpus.

Subfields: Safety, Robustness & Interpretability

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Citations in the corpus

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022, background): “First, public narratives about the technology that are driven by industry actors can lead to inflated expectations about its suitability for use (Brennen, 2018; Brennen et al., 2022), leading to misaligned research and policy priorities (Raji et al., 2022) and potentially dire consequences in e.g.…”
Should We Trust Algorithms? (2020, background): “The media (and politicians) are replete with credulous stories about machine learning and AI, but these stories are often based on commercial claims (Brennen & Nielsen, 2019).”
What is AI Literacy? Competencies and Design Considerations (2020, background): “The same analysis also found that AI issues are becoming politicized in the media—right-leaning outlets tend to highlight “issues of economics and geopolitics”, whereas left-leaning outlets focus on “issues of ethics of AI” [20].”
Talking AI into Being: The Narratives and Imaginaries of National AI Strategies and Their Performative Politics (2021, background): “Here, business actors feature much more often in AI reporting than other stakeholders (Brennen, Howard, and Nielsen 2018; Chuan, Tsai, and Cho 2019; Fast and Horvitz 2017).”
What to expect when you’re expecting robots: Futures, expectations, and pseudo-artificial general intelligence in UK news (2020, background): “This corpus of 760 articles informed a previous study looking at sources, news pegs, and key themes in UK news coverage (Brennen et al., 2018).”