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AiEthics

AI Ethics literature (LitNotes)

EU AI Act Commentaries

Brakel2021FLIPosition

Ethical Dimensions of the AI Act

FutureOfLifeInstitute2021PositionPaperAIAct

FutureSociety2021TrustInExcellence

Smuha2021SocietalHarm

VealeBorgesius2021DemystifyingtheDraft

❖ Index of EU AI Act Commentaries

Abbate2023NatureArtificial

Ajunwa2016HiringAlgorithm

Alessandro2025Habermas-Peters

Andreotta2020HardProblem

Andrews2019PublicAdministration

Arvan2022PanpsychismAI

Awad2018MoralMachine-A

Awad2018MoralMachine-B

Backer2018AlgorithmToBindThemAll

Birhane2021AlgorithmicInjustice

Bostrom2012SuperintelligentWill

Brennan2019DemocracyUninformed

BucknallHacohen2021CurrentNear-Term

Champagne2015BridgingResponsibility

Chomanski2022LimitsAlgogracy

Cinnamon2020DataInequalities

Clark2025ExtendingMinds

Clarke2021SubmissionOfFeedback

CoeckelberghGunkel2024ChatGPTDeconstructing

Creemers2018ChinaSCS

Danaher2016ThreatAlgocracy-A

Danaher2016ThreatAlgocracy-B

Danaher2016ThreatAlgocracy-C

Dechesne2013ReconfigurableTechnology

Durán2021ComputationalReliabilism

FazelpourDanks2021AlgorithmicBias

Ferrara2023FairnessBias

Filho2025EuropeanBorder

Floridi2018AI4People

Floridi2023MachineUnlearning

FloridiTaddeo2016DataEthics

Glavaničová2022VicariousLiability

GlazkoCha2025AutoethnographicInsights

Hassan2022GoverningAlgorithms

Herington2020MeasuringFairness

Hofman2021IntegrativeModeling

Jacovi2021FormalizingTrust

Kneer2022ReasonableClapham

Korteling2021HumanArtificial

Leslie2021AIHumanRightsDemocracy

Lundgren2021MachineDecisions-A

Lundgren2021MachineDecisions-B

Markus2020XAIHealthcare

Mathiass2004ResponsibilityGap

Mehrabi2021BiasFairnessinMachineLearning

MeijerPotjer2018CitizenGenerated

Metz2021AfricanReasons

Mlonyeni2024PersonalAI-Peters

Nemitz2018Constitutionaldemocracy

Nissenbaum2011ContextualApproach

Nyholm2022ControlProblem-A

Nyholm2022ControlProblem-B

Nyholm2022NewControlProblem

Ouchchy2020AIHeadlines

Peters2022ExplainableAI-A

Peters2022ExplainableAI-B

Porsdam2023Credit-BlameAsymmetry

Ratoff2022Self-DrivingCars

Rossi2018BuildingTrustinAI

RyanStayl2021AIEthicsGuidelines

Sander2020DataLiteracy-A

Sander2020DataLiteracy-B

Schermer2014CrisisConsent

Shew2020AbleismTechnoableism

SkaugSætra2020DefenceTechnocracy

Sparrow2021MoralMachines

Stahl2016IndiscriminateMass

Stahl2016IndiscriminateSurveillance

Sunstein2019CorrectingBiases

Theunissen2022ExplainableAI

VitakShiltonAshktorab2016BeyondBelmont

Weber-Guskar2021EmotionalizedAI

West2017DataCapitalism

Williams2022SurveillanceCapitalism

Zerilli2022TransparencyModulates

❖ Index of AI Ethics literature (LitNotes)

AiEthics Module - Instructions and requirements

Templates for assignments (modify and relocate)

Template - Ethics of AI Literature Note 1

Template - Ethics of AI Literature Note 2

Template - Ethics of AI Literature Note 3

Template - Concept note

Template - Digital Ethics MiniDEC

Instructions for mechanics, formatting, and logistics of using Obsidian

Requirements for Extra Module for AI students

Authors

Andreas Matthias

Eva Weber‑Guskar

Francesca Rossi

Helen Nissenbaum

Henrik Skaug Sætra

Shoshana Zuboff

❖ Index of Authors

Concepts

algorithmic accountability in healthcare

algorithmic accountability

algorithmic colonialism

anthropocentrism

anthropomorphism

artificial morality

Calculated Empathy

ConceptNote - Algorithmic Accountability in Healthcare - Wolterbeek

ConceptNote-non-maleficence-Peters

contextual approach to privacy

credit-blame asymmetry

data capitalism

data collection

data processing

de-centering of the state

decolonizing AI

democratic inclusion of AI

digital footprint

digital literacy

disability studies

emotional artificial intelligence (EAI)

existential risks

explainability-A

explainability-B

freedom of movement

harm to artificial agents

inclusion and inclusivity

informed consent

interpretability

mass surveillance

Non-maleficence

public value theory (PVT)

quantified self

responsibility gaps-A

responsibility gaps-B

right to erasure

right to reality

self-selection bias

superintelligence

surveillance capitalism

Synthetic Consensus

the data pipeline

the harm principle

The Instrumental Convergence Thesis

the Transparency Paradox

unintended findings

Universal Declaration of Human Rights

vicarious liability

whistleblowing in AI

❖ Index of Concepts

DECs

AI Art House (DEC)

Albert Heijn Bonus

ASR Vitality by ASR Insurance

Blurring as a Service

Bumble (mini DEC)

Digital Assistant for Parliamentary Inquiries

Google Photos Facial Recognition

Samsung Smartwatches

Schiphol Project DARTMOUTH

Smart Clothing by Pauline van Dongen

❖ Index of DEC (Data-Ethical Consultations)

Technologies

artificial general intelligence

artificial moral agents

artificial virtuous agents

Collaborative Filtering

customer loyalty programs

deep neural network

fall-detection technology

generative adversarial networks (GAN)

machine learning

natural language processing

non-fungible tokens (NFTs)

prompt transformation (for LLMs)

self-driving cars

sentiment analysis

Social Credit System

social norming as a method of behavior change

❖ Index of Technologies

Key concepts for AI Ethics

data collection

data storage
data collection
data processing
data sharing
data deletion

Albert Heijn Bonus
ASR Vitality by ASR Insurance
Danaher2016ThreatAlgocracy-A
Danaher2016ThreatAlgocracy-B
equality data
GitHub Copilot
inclusion and inclusivity
opacity
Sander2020DataLiteracy-A
Sanquin
Shazam
Strava
VitakShiltonAshktorab2016BeyondBelmont

Connected Pages

Depth

Pages mentioning this page

data capitalism

data processing

inclusion and inclusivity

informed consent

quantified self

self-selection bias

the data pipeline

❖ Index of Concepts

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