首页|Technische Universitat Ilmenau Reports Findings in Artificial Intelligence (Rage against the machine? Framing societal threat and efficacy in YouTube videos abo ut artificial intelligence)
Technische Universitat Ilmenau Reports Findings in Artificial Intelligence (Rage against the machine? Framing societal threat and efficacy in YouTube videos abo ut artificial intelligence)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Ilmen au, Germany, by NewsRx correspondents, research stated, "Artificial intelligence (AI) has become a part of the mainstream public discourse beyond expert communi ties about its risks, benefits, and need for regulation. In particular, since 20 14, the news media have intensified their coverage of this emerging technology a nd its potential impact on most domains of society." Our news editors obtained a quote from the research from Technische Universitat Ilmenau, "Although many studies have analyzed traditional media coverage of AI, analyses of social media, especially videosharing platforms, are rare. In addit ion, research from a risk communication perspective remains scarce, despite the widely recognized potential threats to society from many AI applications. This s tudy aims to detect recurring patterns of societal threat/efficacy in YouTube vi deos, analyze their main sources, and compare detected frames in terms of reach and response. Using a theoretical framework combining framing and risk communica tion, the study analyzed the societal threat/efficacy attributed to AI in easily accessible YouTube videos published in a year when public attention to AI tempo rarily peaked (2018). Four dominant AI frames were identified: the balanced fram e, the high-efficacy frame, the high-threat frame, and the no-threat frame. The balanced and no-threat frames were the most prevalent, with predominantly positi ve and neutral AI narratives that neither adequately address the risks nor the n ecessary societal response from a normative risk communication perspective. The results revealed the specific risks and benefits of AI that are most frequently addressed. Video views and user engagement with AI videos were analyzed." According to the news editors, the research concluded: "Recommendations for effe ctive AI risk communication and implications for risk governance were derived fr om the results."
IlmenauGermanyEuropeArtificial Int elligenceEmerging TechnologiesMachine Learning
NETL
NSTL
