On educating ethics in the AI era: why business schools need to move beyond digital upskilling, towards ethical upskilling (English)
- New search for: De Cremer, David
- Further information on De Cremer, David:
- https://orcid.org/http://orcid.org/0000-0002-6357-9385
- New search for: Narayanan, Devesh
- New search for: De Cremer, David
- Further information on De Cremer, David:
- https://orcid.org/http://orcid.org/0000-0002-6357-9385
- New search for: Narayanan, Devesh
In:
AI and Ethics
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3
, 4
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1037-1041
;
2023
- Article (Journal) / Electronic Resource
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Title:On educating ethics in the AI era: why business schools need to move beyond digital upskilling, towards ethical upskilling
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Additional title:AI Ethics
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Contributors:De Cremer, David ( author ) / Narayanan, Devesh ( author )
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Published in:AI and Ethics ; 3, 4 ; 1037-1041
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2023-11-01
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Size:5 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 3, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1037
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On educating ethics in the AI era: why business schools need to move beyond digital upskilling, towards ethical upskillingDe Cremer, David / Narayanan, Devesh et al. | 2023
- 1043
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Speciesist bias in AI: a reply to ArandjelovićHagendorff, Thilo / Bossert, Leonie / Fai, Tse Yip / Singer, Peter et al. | 2023
- 1049
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The sophistry of the neutral tool. Weaponizing artificial intelligence and big data into threats toward social exclusionGiantini, Guilherme et al. | 2023
- 1063
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Artificial intelligence applied in pulmonary hypertension: a bibliometric analysisTchuente Foguem, Germaine / Teguede Keleko, Aurelien et al. | 2023
- 1095
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Ethics and diversity in artificial intelligence policies, strategies and initiativesRoche, Cathy / Wall, P. J. / Lewis, Dave et al. | 2023
- 1117
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Ethical risks of AI-designed products: bespoke surgical tools as a case studyDouglas, David M. / Lacey, Justine / Howard, David et al. | 2023
- 1135
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Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statementsBogani, Ronny / Theodorou, Andreas / Arnaboldi, Luca / Wortham, Robert H. et al. | 2023
- 1143
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“AI for all” is a matter of social justiceBuccella, Alessandra et al. | 2023
- 1153
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Understanding risk with FOTRES?Räz, Tim et al. | 2023
- 1169
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What kind of trust does AI deserve, if any?Alvarado, Ramón et al. | 2023
- 1185
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Rawlsian AI fairness loopholesJørgensen, Anna Katrine / Søgaard, Anders et al. | 2023
- 1193
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Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imagingTripathi, Satvik / Augustin, Alisha / Dako, Farouk / Kim, Edward et al. | 2023
- 1203
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Reexamining computer ethics in light of AI systems and AI regulationJacobs, Mattis / Simon, Judith et al. | 2023
- 1215
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Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculusPost, Benjamin / Badea, Cosmin / Faisal, Aldo / Brett, Stephen J. et al. | 2023
- 1229
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A new control problem? Humanoid robots, artificial intelligence, and the value of controlNyholm, Sven et al. | 2023
- 1241
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All that glitters is not gold: trustworthy and ethical AI principlesRees, Connor / Müller, Berndt et al. | 2023
- 1255
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AI’s fairness problem: understanding wrongful discrimination in the context of automated decision-makingCossette-Lefebvre, Hugo / Maclure, Jocelyn et al. | 2023
- 1271
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AI and housing discrimination: the case of mortgage applicationsZou, Leying / Khern-am-nuai, Warut et al. | 2023
- 1283
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The disconnect between the goals of trustworthy AI for law enforcement and the EU research agendaSanz-Urquijo, B. / Fosch-Villaronga, E. / Lopez-Belloso, M. et al. | 2023
- 1295
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Algorithmic decision-making in financial services: economic and normative outcomes in consumer creditSargeant, Holli et al. | 2023
- 1313
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Ethical and legal considerations for nutrition virtual coachesCalvaresi, Davide / Carli, Rachele / Piguet, Jean-Gabriel / Contreras, Victor H. / Luzzani, Gloria / Najjar, Amro / Calbimonte, Jean-Paul / Schumacher, Michael et al. | 2023
- 1341
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Democracy, epistemic agency, and AI: political epistemology in times of artificial intelligenceCoeckelbergh, Mark et al. | 2023
- 1351
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Making sense of the conceptual nonsense ‘trustworthy AI’Freiman, Ori et al. | 2023
- 1361
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Workplace automation and political replacement: a valid analogy?Burley, Jake / Eisikovits, Nir et al. | 2023
- 1371
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Artificial moral experts: asking for ethical advice to artificial intelligent assistantsRodríguez-López, Blanca / Rueda, Jon et al. | 2023
- 1381
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What should AI see? Using the public’s opinion to determine the perception of an AIChan, Robin / Dardashti, Radin / Osinski, Meike / Rottmann, Matthias / Brüggemann, Dominik / Rücker, Cilia / Schlicht, Peter / Hüger, Fabian / Rummel, Nikol / Gottschalk, Hanno et al. | 2023
- 1407
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There is an elephant in the room: towards a critique on the use of fairness in biometricsValdivia, Ana / Serrajòrdia, Júlia Corbera / Swianiewicz, Aneta et al. | 2023
- 1423
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Fairness–accuracy tradeoff: activation function choice in a neural networkMcCarthy, Michael B. / Narayanan, Sundaraparipurnan et al. | 2023
- 1433
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Replika in the Metaverse: the moral problem with empathy in ‘It from Bit’McStay, Andrew et al. | 2023
- 1447
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Engineering a social contract: Rawlsian distributive justice through algorithmic game theory and artificial intelligenceAshrafian, Hutan et al. | 2023