nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AI and housing discrimination: the case of mortgage applications
|
Zou, Leying |
|
|
3 |
4 |
p. 1271-1281 |
artikel |
2 |
“AI for all” is a matter of social justice
|
Buccella, Alessandra |
|
|
3 |
4 |
p. 1143-1152 |
artikel |
3 |
AI’s fairness problem: understanding wrongful discrimination in the context of automated decision-making
|
Cossette-Lefebvre, Hugo |
|
|
3 |
4 |
p. 1255-1269 |
artikel |
4 |
Algorithmic decision-making in financial services: economic and normative outcomes in consumer credit
|
Sargeant, Holli |
|
|
3 |
4 |
p. 1295-1311 |
artikel |
5 |
All that glitters is not gold: trustworthy and ethical AI principles
|
Rees, Connor |
|
|
3 |
4 |
p. 1241-1254 |
artikel |
6 |
A new control problem? Humanoid robots, artificial intelligence, and the value of control
|
Nyholm, Sven |
|
|
3 |
4 |
p. 1229-1239 |
artikel |
7 |
Artificial intelligence applied in pulmonary hypertension: a bibliometric analysis
|
Tchuente Foguem, Germaine |
|
|
3 |
4 |
p. 1063-1093 |
artikel |
8 |
Artificial moral experts: asking for ethical advice to artificial intelligent assistants
|
Rodríguez-López, Blanca |
|
|
3 |
4 |
p. 1371-1379 |
artikel |
9 |
Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus
|
Post, Benjamin |
|
|
3 |
4 |
p. 1215-1228 |
artikel |
10 |
Democracy, epistemic agency, and AI: political epistemology in times of artificial intelligence
|
Coeckelbergh, Mark |
|
|
3 |
4 |
p. 1341-1350 |
artikel |
11 |
Engineering a social contract: Rawlsian distributive justice through algorithmic game theory and artificial intelligence
|
Ashrafian, Hutan |
|
|
3 |
4 |
p. 1447-1454 |
artikel |
12 |
Ethical and legal considerations for nutrition virtual coaches
|
Calvaresi, Davide |
|
|
3 |
4 |
p. 1313-1340 |
artikel |
13 |
Ethical risks of AI-designed products: bespoke surgical tools as a case study
|
Douglas, David M. |
|
|
3 |
4 |
p. 1117-1133 |
artikel |
14 |
Ethics and diversity in artificial intelligence policies, strategies and initiatives
|
Roche, Cathy |
|
|
3 |
4 |
p. 1095-1115 |
artikel |
15 |
Fairness–accuracy tradeoff: activation function choice in a neural network
|
McCarthy, Michael B. |
|
|
3 |
4 |
p. 1423-1432 |
artikel |
16 |
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
|
Bogani, Ronny |
|
|
3 |
4 |
p. 1135-1142 |
artikel |
17 |
Making sense of the conceptual nonsense ‘trustworthy AI’
|
Freiman, Ori |
|
|
3 |
4 |
p. 1351-1360 |
artikel |
18 |
On educating ethics in the AI era: why business schools need to move beyond digital upskilling, towards ethical upskilling
|
De Cremer, David |
|
|
3 |
4 |
p. 1037-1041 |
artikel |
19 |
Rawlsian AI fairness loopholes
|
Jørgensen, Anna Katrine |
|
|
3 |
4 |
p. 1185-1192 |
artikel |
20 |
Reexamining computer ethics in light of AI systems and AI regulation
|
Jacobs, Mattis |
|
|
3 |
4 |
p. 1203-1213 |
artikel |
21 |
Replika in the Metaverse: the moral problem with empathy in ‘It from Bit’
|
McStay, Andrew |
|
|
3 |
4 |
p. 1433-1445 |
artikel |
22 |
Speciesist bias in AI: a reply to Arandjelović
|
Hagendorff, Thilo |
|
|
3 |
4 |
p. 1043-1047 |
artikel |
23 |
The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda
|
Sanz-Urquijo, B. |
|
|
3 |
4 |
p. 1283-1294 |
artikel |
24 |
There is an elephant in the room: towards a critique on the use of fairness in biometrics
|
Valdivia, Ana |
|
|
3 |
4 |
p. 1407-1422 |
artikel |
25 |
The sophistry of the neutral tool. Weaponizing artificial intelligence and big data into threats toward social exclusion
|
Giantini, Guilherme |
|
|
3 |
4 |
p. 1049-1061 |
artikel |
26 |
Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging
|
Tripathi, Satvik |
|
|
3 |
4 |
p. 1193-1201 |
artikel |
27 |
Understanding risk with FOTRES?
|
Räz, Tim |
|
|
3 |
4 |
p. 1153-1167 |
artikel |
28 |
What kind of trust does AI deserve, if any?
|
Alvarado, Ramón |
|
|
3 |
4 |
p. 1169-1183 |
artikel |
29 |
What should AI see? Using the public’s opinion to determine the perception of an AI
|
Chan, Robin |
|
|
3 |
4 |
p. 1381-1405 |
artikel |
30 |
Workplace automation and political replacement: a valid analogy?
|
Burley, Jake |
|
|
3 |
4 |
p. 1361-1370 |
artikel |