“Irresponsible data management, negligent design and production processes, and questionable deployment practices can, each in their own ways, lead to the implementation and distribution of AI systems that produce unreliable, unsafe, or poor-quality outcomes. These outcomes can do direct damage to the wellbeing of individual persons and the public welfare. They can also undermine public trust in the responsible use of societally beneficial AI technologies, and they can create harmful inefficiencies by virtue of the dedication of limited public resources to inefficient or even detrimental AI technologies.” (Leslie, 2019, p. 5)