Data analytic tools are increasingly used in academic institutions for assessing research and driving funding decisions, as well as actively following and measuring teaching and studying activities. These tools pose challenges that extend beyond the well-documented issues caused by the deployment of AI in society at large, because they can intrude on academic freedom. However, academic institutions can take a number of actions, some on their own, some in coalition with others, to minimize the risks. Some of these actions are effectively the adoption of sound, common-sense management tools; at the other end of the spectrum, assembling a large scale, community-owned infrastructure can only be done within a coalition of "willing" institutions. The most complex issues, however, sit wherever ethical choices will have to be made in the face of conflicting economic and legal concerns. This is the area of inquiry where academic experts willing to work with real world problems can have the most impact, and we are hoping to see researchers take up the challenge.
Also see Aspesi’s recent opinion piece (with Amy Brand) in Science.