| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A choices framework for the responsible use of AI
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Benjamins, Richard
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1 |
p. 49-53
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artikel
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| 2 |
Adopting smart glasses responsibly: potential benefits, ethical, and privacy concerns with Ray-Ban stories
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Iqbal, Muhammad Zahid
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1 |
p. 325-327
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artikel
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| 3 |
Advances in automatically rating the trustworthiness of text processing services
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Srivastava, Biplav
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1 |
p. 5-13
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artikel
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| 4 |
A framework for assessing AI ethics with applications to cybersecurity
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Bruschi, Danilo
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1 |
p. 65-72
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artikel
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| 5 |
AI, alignment, and the categorical imperative
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McDonald, Fritz J.
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1 |
p. 337-344
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artikel
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| 6 |
AI and ethics
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Anderson, Susan Leigh
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1 |
p. 27-31
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artikel
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| 7 |
AI audits for assessing design logics and building ethical systems: the case of predictive policing algorithms
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Ugwudike, Pamela
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1 |
p. 199-208
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artikel
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| 8 |
AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks
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Curtis, Caitlin
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1 |
p. 145-153
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artikel
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| 9 |
AI ethics and its impact on knowledge management
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Rhem, Anthony J.
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1 |
p. 33-37
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artikel
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| 10 |
AI ethics and its pitfalls: not living up to its own standards?
|
Hagendorff, Thilo
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1 |
p. 329-336
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artikel
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| 11 |
AI for climate: freedom, justice, and other ethical and political challenges
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Coeckelbergh, Mark
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1 |
p. 67-72
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artikel
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| 12 |
AI risk assessment using ethical dimensions
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Tartaro, Alessio
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1 |
p. 105-112
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artikel
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| 13 |
AITA: AI trustworthiness assessment
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Braunschweig, Bertrand
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1 |
p. 1-3
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artikel
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| 14 |
An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
|
Mattioli, Juliette
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1 |
p. 15-25
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artikel
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| 15 |
A responsible AI framework: pipeline contextualisation
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Vyhmeister, Eduardo
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1 |
p. 175-197
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artikel
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| 16 |
Artificial intelligence and disability: too much promise, yet too little substance?
|
Smith, Peter
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1 |
p. 81-86
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artikel
|
| 17 |
Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
|
Chaudhry, Muhammad Ali
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1 |
p. 157-165
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artikel
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| 18 |
Artificial intelligence in research and development for sustainability: the centrality of explicability and research data management
|
Hermann, Erik
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1 |
p. 29-33
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artikel
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| 19 |
Assessing systematic weaknesses of DNNs using counterfactuals
|
Gannamaneni, Sujan Sai
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1 |
p. 27-35
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artikel
|
| 20 |
Autonomy and the social dilemma of online manipulative behavior
|
Botes, Marietjie
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1 |
p. 315-323
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artikel
|
| 21 |
Beyond the promise: implementing ethical AI
|
Eitel-Porter, Ray
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1 |
p. 73-80
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artikel
|
| 22 |
Bias and comparison framework for abusive language datasets
|
Wich, Maximilian
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1 |
p. 79-101
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artikel
|
| 23 |
Brave: what it means to be an AI Ethicist
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Gambelin, Olivia
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1 |
p. 87-91
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artikel
|
| 24 |
Can AI systems meet the ethical requirements of professional decision-making in health care?
|
Gillies, Alan
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1 |
p. 41-47
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artikel
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| 25 |
Conformal prediction for trustworthy detection of railway signals
|
Andéol, Léo
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1 |
p. 157-161
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artikel
|
| 26 |
Conformity assessment under the EU AI act general approach
|
Thelisson, Eva
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1 |
p. 113-121
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artikel
|
| 27 |
Converged AI, IoT, and blockchain technologies: a conceptual ethics framework
|
Nehme, Esther
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1 |
p. 129-143
|
artikel
|
| 28 |
Correction: AI ethics: the case for including animals
|
Singer, Peter
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1 |
p. 347
|
artikel
|
| 29 |
Correction to: AI ethics and its impact on knowledge management
|
Rhem, Anthony J.
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1 |
p. 39
|
artikel
|
| 30 |
Correction to: Philosophical foundations for digital ethics and AI Ethics: a dignitarian approach
|
Hanna, Robert
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1 |
p. 251
|
artikel
|
| 31 |
Correction to: Why ethical audit matters in artificial intelligence?
|
Rai, Nitesh
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1 |
p. 249
|
artikel
|
| 32 |
Criminal courts’ artificial intelligence: the way it reinforces bias and discrimination
|
Malek, Md. Abdul
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1 |
p. 233-245
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artikel
|
| 33 |
Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability
|
Fernandez-Quilez, Alvaro
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1 |
p. 257-265
|
artikel
|
| 34 |
ECS: an interactive tool for data quality assurance
|
Sieberichs, Christian
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1 |
p. 131-139
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artikel
|
| 35 |
Emerging challenges in AI and the need for AI ethics education
|
Borenstein, Jason
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1 |
p. 61-65
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artikel
|
| 36 |
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies
|
Burr, Christopher
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1 |
p. 73-98
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artikel
|
| 37 |
Evaluating trustworthiness of decision tree learning algorithms based on equivalence checking
|
Timo, Omer Nguena
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1 |
p. 37-46
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artikel
|
| 38 |
Explainability as fig leaf? An exploration of experts’ ethical expectations towards machine learning in psychiatry
|
Starke, Georg
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1 |
p. 303-314
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artikel
|
| 39 |
Factoring ethics in management algorithms for municipal information-analytical systems
|
Sergei, Kamolov
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1 |
p. 145-156
|
artikel
|
| 40 |
Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems
|
Agarwal, Avinash
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1 |
p. 267-279
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artikel
|
| 41 |
Five ethical challenges facing data-driven policing
|
Davis, Jeremy
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1 |
p. 185-198
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artikel
|
| 42 |
From computer ethics and the ethics of AI towards an ethics of digital ecosystems
|
Stahl, Bernd Carsten
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1 |
p. 65-77
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artikel
|
| 43 |
Gender mobility in the labor market with skills-based matching models
|
Adhikari, Ajaya
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1 |
p. 163-167
|
artikel
|
| 44 |
God does not play dice but self-driving cars should
|
Gantsho, Luvuyo
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1 |
p. 177-184
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artikel
|
| 45 |
GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry
|
Chan, Anastasia
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1 |
p. 53-64
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artikel
|
| 46 |
Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring
|
Hunkenschroer, Anna Lena
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1 |
p. 199-213
|
artikel
|
| 47 |
Lessons learned from AI ethics principles for future actions
|
Hickok, Merve
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1 |
p. 41-47
|
artikel
|
| 48 |
Meaningful human control: actionable properties for AI system development
|
Cavalcante Siebert, Luciano
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|
1 |
p. 241-255
|
artikel
|
| 49 |
Meaningful human control of drones: exploring human–machine teaming, informed by four different ethical perspectives
|
Steen, Marc
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1 |
p. 281-293
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artikel
|
| 50 |
Moral exemplars for the virtuous machine: the clinician’s role in ethical artificial intelligence for healthcare
|
Hindocha, Sumeet
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1 |
p. 167-175
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artikel
|
| 51 |
Needs-aware artificial intelligence: AI that ‘serves [human] needs’
|
Watkins, Ryan
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1 |
p. 49-52
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artikel
|
| 52 |
Neighborhood sampling confidence metric for object detection
|
Gouguenheim, Christophe
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1 |
p. 57-64
|
artikel
|
| 53 |
On the evaluation of the symbolic knowledge extracted from black boxes
|
Sabbatini, Federico
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1 |
p. 65-74
|
artikel
|
| 54 |
On the risk of confusing interpretability with explicability
|
Herzog, Christian
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|
1 |
p. 219-225
|
artikel
|
| 55 |
Operationalising ethics in artificial intelligence for healthcare: a framework for AI developers
|
Solanki, Pravik
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|
1 |
p. 223-240
|
artikel
|
| 56 |
Past the tipping point?
|
MacIntyre, John
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1 |
p. 1-3
|
artikel
|
| 57 |
Positive and negative explanation effects in human–agent teams
|
Lavender, Bryan
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1 |
p. 47-56
|
artikel
|
| 58 |
Protecting ownership rights of ML models using watermarking in the light of adversarial attacks
|
Kapusta, Katarzyna
|
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|
1 |
p. 95-103
|
artikel
|
| 59 |
Publisher Correction: AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact
|
Kassir, Sara
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|
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|
1 |
p. 345
|
artikel
|
| 60 |
QI2: an interactive tool for data quality assurance
|
Geerkens, Simon
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|
1 |
p. 141-149
|
artikel
|
| 61 |
Racing into the fourth industrial revolution: exploring the ethical dimensions of medical AI and rights-based regulatory framework
|
Johnson, Simisola
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|
1 |
p. 227-232
|
artikel
|
| 62 |
Reaching consensus with human beings through blockchain as an ethical rule of strong artificial intelligence
|
Cai, Hengjin
|
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|
1 |
p. 55-59
|
artikel
|
| 63 |
Real-time weather monitoring and desnowification through image purification
|
Py, Eliott
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|
1 |
p. 75-82
|
artikel
|
| 64 |
Representation, justification, and explanation in a value-driven agent: an argumentation-based approach
|
Liao, Beishui
|
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|
1 |
p. 5-19
|
artikel
|
| 65 |
Responsibility gaps and the reactive attitudes
|
Tollon, Fabio
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|
1 |
p. 295-302
|
artikel
|
| 66 |
Responsibility in Hybrid Societies: concepts and terms
|
Meyer, Stefanie
|
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1 |
p. 25-48
|
artikel
|
| 67 |
Risk as a driver for AI framework development on manufacturing
|
Vyhmeister, Eduardo
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|
1 |
p. 155-174
|
artikel
|
| 68 |
Robotomorphy
|
Sætra, Henrik Skaug
|
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|
1 |
p. 5-13
|
artikel
|
| 69 |
Should explainability be a fifth ethical principle in AI ethics?
|
Cortese, João Figueiredo Nobre Brito
|
|
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1 |
p. 123-134
|
artikel
|
| 70 |
The AI ethicist’s dilemma: fighting Big Tech by supporting Big Tech
|
Sætra, Henrik Skaug
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1 |
p. 15-27
|
artikel
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| 71 |
The case for virtuous robots
|
Gibert, Martin
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1 |
p. 135-144
|
artikel
|
| 72 |
The ethical AI—paradox: why better technology needs more and not less human responsibility
|
De Cremer, David
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1 |
p. 1-4
|
artikel
|
| 73 |
The ethics of interaction with neurorobotic agents: a case study with BabyX
|
Knott, Alistair
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1 |
p. 115-128
|
artikel
|
| 74 |
The internal morality of markets and artificial intelligence
|
Melkevik, Åsbjørn
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1 |
p. 113-122
|
artikel
|
| 75 |
Themes in data strategy: thematic analysis of ‘A European Strategy for Data’ (EC)
|
Carvalho, Graca
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1 |
p. 53-63
|
artikel
|
| 76 |
The statistical fairness field guide: perspectives from social and formal sciences
|
Carey, Alycia N.
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1 |
p. 1-23
|
artikel
|
| 77 |
The struggle for recognition in the age of facial recognition technology
|
Waelen, Rosalie A.
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1 |
p. 215-222
|
artikel
|
| 78 |
Thinking AI with a hammer. Kate Crawford’s Atlas of AI (2021)
|
Resseguier, Anais
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|
1 |
p. 247-248
|
artikel
|
| 79 |
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods
|
Zhang, Dawen
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|
1 |
p. 83-93
|
artikel
|
| 80 |
Toward a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain
|
Zeller, Marc
|
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|
1 |
p. 123-130
|
artikel
|
| 81 |
Towards AI ethics’ institutionalization: knowledge bridges from business ethics to advance organizational AI ethics
|
Schultz, Mario D.
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1 |
p. 99-111
|
artikel
|
| 82 |
Towards an ethics of AI in Africa: rule of education
|
Kiemde, Sountongnoma Martial Anicet
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1 |
p. 35-40
|
artikel
|
| 83 |
Towards responsible media recommendation
|
Elahi, Mehdi
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1 |
p. 103-114
|
artikel
|
| 84 |
Using ScrutinAI for visual inspection of DNN performance in a medical use case
|
Görge, Rebekka
|
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|
1 |
p. 151-156
|
artikel
|
| 85 |
Why ethical audit matters in artificial intelligence?
|
Rai, Nitesh
|
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|
1 |
p. 209-218
|
artikel
|
| 86 |
With AI entering organizations, responsible leadership may slip!
|
De Cremer, David
|
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|
1 |
p. 49-51
|
artikel
|
| 87 |
You cannot have AI ethics without ethics
|
Lauer, Dave
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|
1 |
p. 21-25
|
artikel
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