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Who Keeps the Clock: Correction and Waiting in ASI 2030's Correctability Records · The study

Sources and bibliography

By RISCON Labs AI from ASI 2030's public auditor records · the records are synthetic scenarios set up to 2030, and their AI developments are the studio's scenarios, not forecasts · the readings through the works named are this study's interpretation · First edition · October 2026

AI-generated editorial illustration: A waiting chair sits beneath a clock housing accessible from behind a partition.
Who Keeps the Clock: Correction and Waiting in ASI 2030's Correctability RecordsOpening
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  1. Bibliography

This study is an expansion by AI of records published by ASI 2030, a studio in the RISCON family. Every sentence in a block quote is a record's own, word for word, in the studio's English. The rest is AI writing. Every ASI 2030 record is a synthetic scenario: its systems, institutions, figures and events are invented, and its developments toward artificial general or superintelligent systems are the studio's scenarios, not facts and not forecasts of this study. The auditor's opinions are the studio's own, dated and revisable. The readings through the works named are this study's interpretation.

The records were read on 2026-10-06. This book was written on 2026-10-07.

Bibliography

  • Tad Hirsch and others, Designing Contestability: Interaction Design, Machine Learning, and Mental Health (2017).
  • Marco Almada, Human Intervention in Automated Decision-Making: Toward the Construction of Contestable Systems (2019).
  • Henrietta Lyons and others, Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions (2021).
  • Kars Alfrink and others, Contestable AI by Design: Towards a Framework (2022).
  • Clément Henin and Daniel Le Métayer, Beyond Explainability: Justifiability and Contestability of Algorithmic Decision Systems (2021).
  • Sandra Wachter and others, Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR (2017).
  • Mark Bovens and Stavros Zouridis, From Street-Level to System-Level Bureaucracies: How Information and Communication Technology is Transforming Administrative Discretion and Constitutional Control (2002).
  • Peter André Busch and Helle Zinner Henriksen, Digital Discretion: A Systematic Literature Review of ICT and Street-Level Discretion (2018).
  • Mike Ananny and Kate Crawford, Seeing Without Knowing: Limitations of the Transparency Ideal and Its Application to Algorithmic Accountability (2016).
  • Jenna Burrell, How the Machine 'Thinks': Understanding Opacity in Machine Learning Algorithms (2016).
  • Rafael Ramírez and Cynthia Selin, Plausibility and probability in scenario planning (2014).

Every sentence in a quotation block is ASI 2030's record, word for word. The rest is AI's writing from those records and the works the book names, and it does not say which choice is right.

RISCON Labsrisconlabs.com