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 is actively distorting the academic landscape to suit its needs. By comparing the well-studied actions of another industry, that of Big Tobacco, to the current actions of Big Tech we see similar strategies employed by both industries 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, in a rigorous manner, 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界的专家意见来制定有关人工智能的政策,这些学者必须避免利益冲突,这种利益冲突可能会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积极扭曲学术景观以适应其需要。通过将另一个行业,即大烟草业的受广泛研究的行动与大科技目前的行动进行比较,我们看到两个行业都采用了类似的战略来动摇和影响学术和公共讨论。我们审查了学术研究的资金来源,作为大科技用来树立对社会负责的公共形象的工具,影响由受资助的大学主办和决定的活动,影响个别科学家的研究问题和计划,并发现可以利用的受欢迎的学者。我们严格地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,对于大学和其他高等院校来说,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至关重要。