How news coverage, often uncritical, helps build up the AI hype; Reuters Institute, May 20, 2024

Prof. Rasmus Kleis Nielsen , Reuters Institute; How news coverage, often uncritical, helps build up the AI hype

"“I would put media reporting [about AI] at around two out of 10,” David Reid, professor of Artificial Intelligence at Liverpool Hope University, said to the BBC earlier this year. “When the media talks about AI, they think of it as a single entity. It is not. What I would like to see is more nuanced reporting.”

While some individual journalists and outlets are highly respected for their reporting on AI, overall, social science research on news media coverage of artificial intelligence provides some support for Reid’s assessment.

Some working in the technology industry may feel very put upon – a few years ago Zachary Lipton, then an assistant professor at the machine learning department at Carnegie Mellon University, was quoted in the Guardian calling media coverage of artificial intelligence “sensationalised crap” and likening it to an “AI misinformation epidemic”. In private conversations, many computer scientists and technologists working in the private sector echo his complaints, decrying what several describe as relentlessly negative coverage obsessed with “killer robots.”"

Researchers wrestle with a privacy problem; Nature, 9/22/15

Erika Check Hayden, Nature; Researchers wrestle with a privacy problem:

"But for many social scientists, the most impressive thing was that the authors had been able to examine US federal tax returns: a closely guarded data set that was then available to researchers only with tight restrictions. This has made the study an emblem for both the challenges and the enormous potential power of 'administrative data' — information collected during routine provision of services, including tax returns, records of welfare benefits, data on visits to doctors and hospitals, and criminal records. Unlike Internet searches, social-media posts and the rest of the digital trails that people establish in their daily lives, administrative data cover entire populations with minimal self-selection effects: in the US census, for example, everyone sampled is required by law to respond and tell the truth.

This puts administrative data sets at the frontier of social science, says John Friedman, an economist at Brown University in Providence, Rhode Island, and one of the lead authors of the education study1. “They allow researchers to not just get at old questions in a new way,” he says, “but to come at problems that were completely impossible before.”...

But there is also concern that the rush to use these data could pose new threats to citizens' privacy. “The types of protections that we're used to thinking about have been based on the twin pillars of anonymity and informed consent, and neither of those hold in this new world,” says Julia Lane, an economist at New York University. In 2013, for instance, researchers showed that they could uncover the identities of supposedly anonymous participants in a genetic study simply by cross-referencing their data with publicly available genealogical information."