DigitalEthicsAi-ObsidianVault
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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
Andreotta2020HardProblem
Andrews2019PublicAdministration
Arvan2022PanpsychismAI
Awad2018MoralMachine-A
Awad2018MoralMachine-B
Backer2018AlgorithmToBindThemAll
Birhane2021AlgorithmicInjustice
Bostrom2012SuperintelligentWill
Brakel2021FLIPosition
Brennan2019DemocracyUninformed
BucknallHacohen2021CurrentNear-Term
Champagne2015BridgingResponsibility
Chomanski2022LimitsAlgogracy
Clarke2021SubmissionOfFeedback
CoeckelberghGunkel2024ChatGPTDeconstructing
Creemers2018ChinaSCS
Danaher2016ThreatAlgocracy-A
Danaher2016ThreatAlgocracy-B
Danaher2016ThreatAlgocracy-C
Dechesne2013ReconfigurableTechnology
Durán2021ComputationalReliabilism
FazelpourDanks2021AlgorithmicBias
Ferrara2023FairnessBias
Floridi2018AI4People
Floridi2023MachineUnlearning
FloridiTaddeo2016DataEthics
Glavaničová2022VicariousLiability
Hassan2022GoverningAlgorithms
Herington2020MeasuringFairness
Hofman2021IntegrativeModeling
Jacovi2021FormalizingTrust
Kneer2022ReasonableClapham
Korteling2021HumanArtificial
Leslie2021AIHumanRightsDemocracy
Literature note 2 The Virtual Politician On Algorithm-Based Political Decision-Making
Lundgren2021MachineDecisions-A
Lundgren2021MachineDecisions-B
Markus2020XAIHealthcare
Mathiass2004ResponsibilityGap
MeijerPotjer2018CitizenGenerated
Metz2021AfricanReasons
Nemitz2018Constitutionaldemocracy
Nissenbaum2011ContextualApproach
Nyholm2022ControlProblem-A
Nyholm2022ControlProblem-B
Nyholm2022NewControlProblem
Ouchchy2020AIHeadlines
Peters2022ExplainableAI-A
Peters2022ExplainableAI-B
Porsdam2023Credit-BlameAsymmetry
Ratoff2022Self-DrivingCars
Rossi2018BuildingTrustinAI
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
Archive from 2023-24
Readings for 2024-03-11 in the AI Module
Readings for 2024-03-18 in the AI Module
Readings for 2024-04-22 in the AI module
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
Templates
Additional community plugins you might want to add
AiModule meeting2 2025-03-10
AiModule meeting3 2025-03-25
Ideas and suggestions for technologies, literature, and concepts to examine
Instructions for mechanics, formatting, and logistics of using Obsidian
Requirements for Extra Module for AI students
❖ Index of AiEthics - Instructions and requirements
❖ Table of contributions from 2024 (concepts, DECs, readings)
Authors
Abeba Birhane
Adam Andreotta
Albert Meijer
Andreas Matthias
Andrew Selbst
Ashley Shew
Eva Weber‑Guskar
Foucault
Francesca Rossi
Helen Nissenbaum
Henrik Skaug Sætra
John Danaher
Leila Ouchchy
Markus Kneer
Mirko Schäfer
Shoshana Zuboff
Solon Barocas
Suzanne Potjer
Sven Nyholm
Thaddeus Metz
❖ Index of Authors
Concepts
accountability
AI alignment
algorithmic accountability in healthcare
algorithmic accountability
algorithmic colonialism
anthropocentrism
anthropomorphism
artificial morality
autonomy
bias
consciousness
contextual approach to privacy
credit-blame asymmetry
data capitalism
data collection
data processing
data sharing
data storage
dataveillance
de-centering of the state
decolonizing AI
democratic inclusion of AI
digital footprint
digital literacy
disability studies
discrimination
emotional artificial intelligence (EAI)
empowerment
engagement
equality data
equity data
EU AI Act
existential risks
explainability-A
explainability-B
fairness
fog of war
freedom of movement
function creep
gaslighting
GDPR
governance
harm to artificial agents
harm to memory
harm
heterotopia
inclusion and inclusivity
informed consent
interpretability
justice
legitimacy
mass surveillance
modelling
nonmalificence
opacity
polarization
posthumanism
privacy
public value theory (PVT)
quantified self
regulation
relationality
reliability
responsibility gaps-A
responsibility gaps-B
responsibility
right to erasure
right to reality
robot rights
safety
self-selection bias
social control
superintelligence
surveillance capitalism
sustainability
the data pipeline
the harm principle
The Instrumental Convergence Thesis
the Transparency Paradox
transparency
trust
unintended findings
Universal Declaration of Human Rights
vicarious liability
virtue ethics
virtue
vulnerability
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)
DeepMindGato
Digital Assistant for Parliamentary Inquiries
GitHub Copilot
Google Photos Facial Recognition
Happn
IBMWatson
KLM
Ring Doorbell
Samsung Smartwatches
Sanquin
Schiphol Project DARTMOUTH
Shazam
SlimTaal
Smart Clothing by Pauline van Dongen
Strava
TechWolf
TestGorilla
Vinted
❖ Index of DEC (Data-Ethical Consultations)
Technologies
artificial general intelligence
artificial moral agents
artificial virtuous agents
automation
blockchain
body scan
Collaborative Filtering
COMPAS
cryptocurrency
customer loyalty programs
deep neural network
drones
Ethereum
fall-detection technology
generative adversarial networks (GAN)
geo-tracking
machine learning
natural language processing
non-fungible tokens (NFTs)
Panopticon
self-driving cars
sentiment analysis
smart textiles
Social Credit System
social norming as a method of behavior change
wearables
❖ Index of Technologies
Key concepts for AI Ethics
AiEthics - External to Peerdraft
AiEthics - Attachments (PDFs + images)
AiEthics - Attachments (PDFs + images)
External Link to folder with more attachments
Sample of a ChatGPT prompt transformation
AiEthics - Resources (static)
graph presets
Local Graph without excluded notes
Previous years of the AiEthics module for Digital Ethics
Readings in 2021-22
Readings in 2022-23
❖ Index of Previous years of the AiEthics module for Digital Ethics
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
Templates
❖ Index of AiEthics - Resources (static)
❖ Recently modified files
How to get the most out of local graphs
Introduction to Peerdraft (official documentation)
When you move a note into a shared folder, you sometimes need to restart your vault
AiEthics - Joel Only
Query Results (Dataview tables and lists)
Dataview - Notes by Tags
Dataview Index of Bridge notes (linking only)
Dataview Index of links to notes about Technologies
Overview of student contributions 2022
❖ db PeerdraftURL
Obsidian - Guide and Tips
1 Obsidian - Getting started
10 Key things to know about Obsidian
How to avoid duplication between notes
How to set up a collaborative vault for course in AiEthics
How to use Dillinger web-based Markdown editor
Some Useful tutorials for learning Obsidian
2 Obsidian - Next steps
Using aliases for full titles of sources in literature notes SOP
Working with the graph visualization in Obsidian
3 A guide to collaborative note-making
How to make a literature note
The benefits of smart notes, digital knowledge gardens, and Zettelkasten
The secret to linked notes is anticipating autocompletion
❖ Index of Types of notes
❖ Files in Guide to collaborative note-making
4 Obsidian - Plugins
Peerdraft plugin
❖ Index of Obsidian - Plugins
❖ Index of A guide to Obsidian
Starting Page
Index of Vault
Select a result to preview
Andrew Selbst
Theunissen2022ExplainableAI
Selbst, Andrew D, and Solon Barocas. 2018. “The Intuitive Appeal of Explainable Machines.”
Fordham Law Review
87 1085.
Andrew Selbst & Solon Barocas