Posts

Industrialised Filtering: Mobley v Workday - Wwho gets seen?

  Pattern Industrialised Filtering Status Historical Case Mobley v Workday and the corporate cost of Industrialised Filtering One of the recurring themes in Governable is that machine-shaped systems rarely create entirely new governance problems. More often, they expose existing organisational behaviours at unprecedented scale. The Mobley v Workday case is a useful example. The case focused attention on the growing use of automated hiring systems and whether those systems may contribute to discriminatory outcomes. While the legal questions remain important, the broader governance lesson sits elsewhere. The case forces us to ask a simple question: Who gets seen? Large organisations often receive thousands of applications for a single role. Filtering is unavoidable. Without some form of triage, meaningful review becomes impossible. Historically, this filtering was performed by people. Today, it is increasingly performed by systems. This creates a subtle shift. Candidates are not mer...

Invisible Grounds: Apple Card - why did this happen to me?

Pattern Invisible Grounds Status Historical Case Apple Card and the Problem of Invisible Grounds One of the recurring themes throughout Governable: The Last Human in the Room is that machine-shaped systems rarely create entirely new governance problems. More often, they expose older problems in new ways. The Apple Card controversy is a useful example. When customers began reporting significant differences in credit limits between partners with apparently similar financial circumstances, public attention quickly focused on the outcomes. Why did one person receive a higher credit limit? Why did another receive a lower one? Why did people who believed they were financially similar receive noticeably different results? These are reasonable questions. But what makes the case interesting from a governance perspective is that the debate quickly moved beyond the credit limits themselves. The deeper question became: How should institutions explain decisions that significantly affect people...