As governmental bodies rely on academics' expert advice to shape policy regarding Artificial Intelligence, it is important that these academics not have conflicts of interests that may cloud or bias their judgement. Our work explores how Big Tech can actively distort the academic landscape to suit its needs. By comparing the well-studied actions of another industry (Big Tobacco) to the current actions of Big Tech we see similar strategies employed by both industries. These strategies enable either industry to sway and influence academic and public discourse. We examine the funding of academic research as a tool used by Big Tech to put forward a socially responsible public image, influence events hosted by and decisions made by funded universities, influence the research questions and plans of individual scientists, and discover receptive academics who can be leveraged. We demonstrate how Big Tech can affect academia from the institutional level down to individual researchers. Thus, we believe that it is vital, particularly for universities and other institutions of higher learning, to discuss the appropriateness and the tradeoffs of accepting funding from Big Tech, and what limitations or conditions should be put in place.
翻译:由于政府机构依靠学术专家的建议来制定有关人工智能的政策,这些学术人员必须避免利益冲突,以免蒙上云彩或对其判断产生偏见。我们的工作探索了大科技如何能积极扭曲学术景观以适应其需要。通过比较另一产业(大烟草)的研究周密的行动和大科技目前的行动,我们看到两个产业都采用了类似的战略。这些战略使产业部门能够左右和影响学术和公共讨论。我们审查了作为大科技工具的学术研究资金问题,以提出对社会负责的公共形象,影响由受资助的大学主持和决定的活动,影响个别科学家的研究问题和计划,并发现可以利用的可接受的学者。我们展示了大科技如何从机构层面影响学术界到个人研究人员。因此,我们认为,至关重要的是,特别是大学和其他高等教育机构,讨论接受大科技资金的适当性和利弊,以及应该设置哪些限制或条件。