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Sources & further reading

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Books, papers and classic texts connected to our essays, paradoxes and thought experiments.

Start with a question, browse a theme or follow a reading route. Our notes explain why a source is worth reading and where its limits lie. We also include work that challenges the ideas we explore.

English reading notes. Original publications in their available languages.

Publication details and links are reproduced from the shared KopKen catalogue. These English notes are AI-assisted editorial adaptations of the Dutch notes, not a new independent review of every full text. Missing bibliographic details are marked as not recorded.

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208 sources · 9 themes · 20 starting points

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208 sources found · page 4 of 12

205 of 208 English notes match this catalogue edition

Guidance

Discussing Asimov's I, Robot

A publisher's reading guide to robot stories that raise questions about rules, interpretation and responsibility.

Why read it?

Provides stories for thinking about rules and responsibility.

Keep in mind

The guide discusses fiction. The robots in the stories do not describe how existing AI works technically.

Reference details

Title as recorded: Asimovs I, Robot bespreken

Author(s): Not recorded · Year: Not recorded

Publication / host: www.penguinrandomhouse.com
Source language: English

KP-R-35FA847E566D

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ArticleCounterpoint

Sleeping Beauty: the counterargument

Lewis responds to Elga on assigning probabilities when you do not know at which moment you have awakened.

Why read it?

Offers a counterpoint to Elga's treatment of the Sleeping Beauty problem.

Keep in mind

The answer depends on the information and assumptions adopted. Read the two positions alongside one another.

Reference details

Title as recorded: Sleeping Beauty: reply to Elga

Author(s): D. Lewis · Year: 2001

Publication / host: Oxford University Press (OUP)
Source language: English

DOI: 10.1111/1467-8284.00291

KP-R-3603B779D253

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Article

How much trust does automation deserve?

Lee and See examine how trust can be matched to what a system can actually do.

Why read it?

Helps investigate both blind trust and unnecessary distrust.

Keep in mind

Appropriate reliance depends on the situation and may change over time.

Reference details

Title as recorded: Trust in Automation: Designing for Appropriate Reliance

Author(s): J. D. Lee; K. A. See · Year: 2004

Publication / host: Oxford University Press (OUP)
Source language: English

DOI: 10.1518/hfes.46.1.50_30392

KP-R-36B2CD6F511D

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Article

Depending on AI when learning

Du and Yuan examine what it means to rely on AI for knowledge while learning.

Why read it?

Explores what a learner needs to be able to assess when AI contributes to the thinking.

Keep in mind

The article develops a philosophical argument. It does not measure the size of effects on learning.

Reference details

Title as recorded: Epistemic dependence in AI-mediated learning

Author(s): Yiran Du; Yijia Yuan · Year: 2026

Publication / host: Springer Science and Business Media LLC
Source language: English

DOI: 10.1007/s00146-026-03294-1

KP-R-375F33960906

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Classic text

Nietzsche: Thus Spoke Zarathustra

A historical English translation of Nietzsche's work, with passages on eternal recurrence and affirming life.

Why read it?

Offers original passages on the thought that your life might repeat endlessly.

Keep in mind

The work uses poetic and philosophical language and has been interpreted in different ways.

Reference details

Title as recorded: Nietzsche: Thus Spake Zarathustra

Author(s): Not recorded · Year: Not recorded

Publication / host: www.gutenberg.org
Source language: English

KP-R-376D9D68C173

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Article

The original ultimatum experiment

Güth, Schmittberger and Schwarze examine how people propose a division of resources and how others accept or reject it.

Why read it?

An original source for exploring fairness and self-interest in decisions.

Keep in mind

The results depend on the rules, the stakes and the social setting.

Reference details

Title as recorded: An experimental analysis of ultimatum bargaining

Author(s): Werner Güth; Rolf Schmittberger; Bernd Schwarze · Year: 1982

Publication / host: Elsevier BV
Source language: English

DOI: 10.1016/0167-2681(82)90011-7

KP-R-37C89D0FCF36

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Article

What do we know about tutoring?

This review brings together experimental research on targeted tutoring in primary and secondary education.

Why read it?

Helps assess different forms of learning support on their own terms.

Keep in mind

Tutoring differs from informal mentoring. The approach and the learners involved affect the results.

Reference details

Title as recorded: The Promise of Tutoring for PreK–12 Learning: A Systematic Review and Meta-Analysis of the Experimental Evidence

Author(s): Andre Nickow; Philip Oreopoulos; Vincent Quan · Year: 2024

Publication / host: American Educational Research Association (AERA)
Source language: English

DOI: 10.3102/00028312231208687

KP-R-38688A3E5FC9

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Article

AI, learning objectives and assessment

Klar and Schleiss discuss how learning objectives, teaching methods and examinations fit together when students use AI.

Why read it?

Explores what assessment should examine when learners have access to AI.

Keep in mind

This German-language contribution develops ideas. Schools still need to adapt them to their own assessment policies.

Reference details

Title as recorded: Künstliche Intelligenz im Kontext von Kompetenzen, Prüfungen und Lehr-Lern-Methoden

Author(s): Maria Klar; Johannes Schleiss · Year: 2024

Publication / host: OAPublishing Collective
Source language: German

DOI: 10.21240/mpaed/58/2024.03.24.x

KP-R-39751F949936

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Article

Losing track through automation

Endsley and Kiris examine problems that can arise when people become less actively involved in automated processes.

Why read it?

Helps ask whether someone can still intervene when a system behaves unexpectedly.

Keep in mind

The conclusions concern the tasks and levels of automation studied.

Reference details

Title as recorded: The Out-of-the-Loop Performance Problem and Level of Control in Automation

Author(s): Mica R. Endsley; Esin O. Kiris · Year: 1995

Publication / host: SAGE Publications
Source language: English

DOI: 10.1518/001872095779064555

KP-R-3DB67AE49559

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Reference work

CRediT: who contributed what?

CRediT provides a taxonomy for describing who made which contributions to research.

Why read it?

Helps name contributions to collaborative knowledge work explicitly.

Keep in mind

Identifying contributions does not, by itself, determine who should be listed as an author.

Reference details

Title as recorded: CRediT: wie droeg wat bij?

Author(s): Not recorded · Year: Not recorded

Publication / host: credit.niso.org
Source language: English

KP-R-3DEE022F5F84

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Reference work

Informal logic and everyday arguments

An introduction to examining arguments as people use them in everyday life.

Why read it?

Provides background for learning to assess ordinary conversations and discussions.

Keep in mind

Different theories of argumentation emphasise different aspects.

Reference details

Title as recorded: Informal Logic

Author(s): Groarke, Leo · Year: 1996

Publication / host: plato.stanford.edu
Source language: English

KP-R-3EFC680C3384

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ArticleStarting point

AI and the illusion of scientific understanding

Messeri and Crockett examine how AI can make us feel that we understand something while blind spots remain.

Why read it?

Explores the difference between a convincing answer and genuine understanding.

Keep in mind

The article develops a perspective on the problem. It does not measure how often or how strongly researchers experience it.

Reference details

Title as recorded: Artificial intelligence and illusions of understanding in scientific research

Author(s): Lisa Messeri; M. J. Crockett · Year: 2024

Publication / host: Springer Science and Business Media LLC
Source language: English

DOI: 10.1038/s41586-024-07146-0

KP-R-3F0F5926316F

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Article

Challenger: when an organisation misses knowledge

This analysis uses the Challenger disaster to consider knowledge failures in organisations and possible parallels with generative AI.

Why read it?

Helps examine the organisation around a technical system.

Keep in mind

A historical comparison can raise questions. It does not, by itself, establish the causes of current AI risks.

Reference details

Title as recorded: Historical failures and epistemic accidents: NASA’s Challenger disaster and the organizational risks of Generative AI

Author(s): Deniz Tunçalp · Year: 2026

Publication / host: Emerald
Source language: English

DOI: 10.1108/jmh-09-2025-0162

KP-R-4240FE44FAED

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Article

Delegating cognitive work to tools

Risko and Gilbert discuss how people delegate some of their cognitive work to tools and their environment.

Why read it?

Provides background for asking what we outsource and what we continue to do ourselves.

Keep in mind

This can help or have disadvantages. The effect depends on the task and how the tool is used.

Reference details

Title as recorded: Cognitive Offloading

Author(s): Evan F. Risko; Sam J. Gilbert · Year: 2016

Publication / host: Elsevier BV
Source language: English

DOI: 10.1016/j.tics.2016.07.002

KP-R-434AC329F049

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Article

Bernoulli: what is a risk worth?

Bernoulli uses the St Petersburg paradox to examine how we weigh risk and utility.

Why read it?

An original source for asking why a probability calculation does not explain our entire decision.

Keep in mind

This is a 1954 English translation of work from 1738. Utility and an amount of money are not the same thing in the argument.

Reference details

Title as recorded: Exposition of a New Theory on the Measurement of Risk

Author(s): Daniel Bernoulli · Year: 1954

Publication / host: JSTOR
Source language: English

DOI: 10.2307/1909829

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Article

Hempel and the raven paradox

Hempel asks which observations support a general statement such as “all ravens are black”.

Why read it?

An original source for asking what counts as confirmation of a belief.

Keep in mind

This is a logical and philosophical analysis. Support for a statement does not amount to certainty.

Reference details

Title as recorded: I.—STUDIES IN THE LOGIC OF CONFIRMATION (I.)

Author(s): CARL G. HEMPEL · Year: 1945

Publication / host: Oxford University Press (OUP)
Source language: English

DOI: 10.1093/mind/liv.213.1

KP-R-46E103859E6D

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Chapter

Why human researchers do not simply disappear

This philosophical chapter examines the role people retain when scientists use machine learning.

Why read it?

Offers a counterpoint to the idea that AI simply replaces human knowledge workers.

Keep in mind

The argument concerns a particular research practice. It does not predict the future of every occupation.

Reference details

Title as recorded: Why Are Human Epistemic Agents Not Displaced in Machine Learning Scientific Inquiries? A Practice Perspective on ML in Science

Author(s): Sahra A. Styger; Marianne de Heer Kloots; Oskar van der Wal; Federica Russo · Year: 2026

Publication / host: Springer Nature Switzerland
Source language: English

DOI: 10.1007/978-3-032-03083-2_15

KP-R-474163D57B20

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Article

AI and scientific creativity

Duede discusses how AI may change the role of disciplines and human creativity in research.

Why read it?

Explores what AI adds to the development of new research questions and ideas.

Keep in mind

This is a recent philosophical contribution. Its version and publication status may change.

Reference details

Title as recorded: AI and the Decentering of Disciplinary Creativity

Author(s): Eamon Duede · Year: 2026

Publication / host: Cambridge University Press (CUP)
Source language: English

DOI: 10.1017/psa.2026.10262

KP-R-4A700AC07746

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How to use this library

Read the original source before relying on a specific claim. Our notes distinguish evidence, interpretation and illustration; they do not replace the source. A checked reference or working link is not a scientific quality certificate. Legal texts, historical examples and technical reports may need to be checked against newer versions.

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