Edinburgh, United Kingdom. July 4–6, 2019
Deadline: January 14, 2019
Call for Papers
The relationship of work to technology has long been studied (e.g., Barley, 1986; Orlikowski, 1992; Trist & Bamforth, 1951), from the roboticization of factory lines (e.g., Argote et al., 1983; Grint & Woolgar, 2013; Smith & Carayon, 1995) to the integration of information and computing technology into knowledge work (e.g., Hanseth et al., 2006; Leonardi & Bailey, 2008; Osterlund & Carlile, 2005). As more and more digital technology becomes elemental to modern forms of work, it is sometimes difficult to separate tasks from tools, procedures from platforms. Today, not only is work primarily digital and computational, but it is fast becoming algorithmic with the introduction of artificial intelligence into existing procedures and practices (Brynjolfsson & McAfee, 2014). For instance, radiologists can now leverage artificial intelligence to analyze patients’ scans instead of relying on their trained eyes alone; these machines, using intelligent algorithms, are reported to have a higher rate of tumor recognition than even the most well-trained experts (Aerts, 2017; Prevedello et al., 2017). Continue reading
