| Keyword search (4,163 papers available) | ![]() |
"Artificial intelligence" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Editorial: Data-driven vaccine design for microbial-associated diseases | Selvaraj G; Kaliamurthi S; Wei D; | 41624882 CHEMBIOCHEM |
| 2 | Divergent creativity in humans and large language models | Bellemare-Pepin A; Lespinasse F; Thölke P; Harel Y; Mathewson K; Olson JA; Bengio Y; Jerbi K; | 41565675 PSYCHOLOGY |
| 3 | Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems | Yaghoobian S; An J; Jeong DW; Hwang JH; | 41483514 ENCS |
| 4 | Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening | Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; | 41071096 ENCS |
| 5 | Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics | Abicumaran Uthamacumaran | 40848317 PSYCHOLOGY |
| 6 | Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review | Md Shike Bin Mazid Anik | 40692624 ENCS |
| 7 | Comprehensive review of reinforcement learning for medical ultrasound imaging | Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; | 40567264 ENCS |
| 8 | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; | 40428106 ENCS |
| 9 | Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques | Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; | 40336660 ENCS |
| 10 | Advanced Robotics for the Next-Generation of Cardiac Interventions | Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; | 40283240 ENCS |
| 11 | The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites | Lapointe VA; Dubé S; Rukhlyadyev S; Kessai T; Lafortune D; | 40032709 PSYCHOLOGY |
| 12 | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; | 39590726 HKAP |
| 13 | Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks | Abicumaran Uthamacumaran | 39420135 PSYCHOLOGY |
| 14 | Recommendations on the use of artificial intelligence in health promotion | Smith A; Arena R; Bacon SL; Faghy MA; Grazzi G; Raisi A; Vermeesch AL; Ong' wen M; Popovic D; Pronk NP; | 39389332 HKAP |
| 15 | Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game | Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; | 39052314 ENCS |
| 16 | LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy | St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; | 39009730 ENCS |
| 17 | Who Should Decide How Machines Make Morally Laden Decisions? | Dominic Martin | 27905083 JMSB |
| 18 | The State of Artificial Intelligence in Skin Cancer Publications | Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P; | 38323537 ENCS |
| 19 | Performance of ChatGPT on a Practice Dermatology Board Certification Examination | Joly-Chevrier M; Nguyen AX; Lesko-Krleza M; Lefrançois P; | 37489920 ENCS |
| 20 | Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics | Abicumaran Uthamacumaran | 35678918 PHYSICS |
| 21 | The Algorithms of Mindfulness | Johannes Bruder | 35103028 CONCORDIA |
| 22 | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | Bouzo V; Plourde H; Beckenstein H; Cohen TR; | 34582258 PERFORM |
| 23 | Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence | Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; | 33181361 CONCORDIA |
| Title: | Who Should Decide How Machines Make Morally Laden Decisions? | ||||
| Authors: | Dominic Martin | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/27905083/ | ||||
| DOI: | 10.1007/s11948-016-9833-7 | ||||
| Publication: | Science and engineering ethics | ||||
| Keywords: | Artificial intelligence; Collective decision-making; Economic efficiency; Ethics; Market freedom; Moral agency; Public policies; Regulation; Self-driving car; | ||||
| PMID: | 27905083 | Category: | Date Added: | 2016-12-02 | |
| Dept Affiliation: |
JMSB
1 John Molson School of Business, Concordia University, Montréal, Canada. dominic.martin@concordia.ca. 2 Department of Philosophy, McGill University, Montréal, Canada. dominic.martin@concordia.ca. |
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Description: |
Who should decide how a machine will decide what to do when it is driving a car, performing a medical procedure, or, more generally, when it is facing any kind of morally laden decision? More and more, machines are making complex decisions with a considerable level of autonomy. We should be much more preoccupied by this problem than we currently are. After a series of preliminary remarks, this paper will go over four possible answers to the question raised above. First, we may claim that it is the maker of a machine that gets to decide how it will behave in morally laden scenarios. Second, we may claim that the users of a machine should decide. Third, that decision may have to be made collectively or, fourth, by other machines built for this special purpose. The paper argues that each of these approaches suffers from its own shortcomings, and it concludes by showing, among other things, which approaches should be emphasized for different types of machines, situations, and/or morally laden decisions. |



