Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 20 min ago
Peer-reviewedCC BY 4.0Science and Engineering Ethics

Limitations of Computational Morality: Can We Morally Enhance Ourselves via AI?

  1. 1Catholic University of Eichstätt-Ingolstadt, School of Transformation and Sustainability, Ostenstr. 26, 85072 Eichstätt, Germany

Abstract

Computational or machine ethics examines how morality could be implemented in machines and represented computationally. In the cognitive sciences, different architectures (rule-based and connectionist) have been proposed. Nevertheless, such approaches have limitations when incorporating ethical claims. With the rise of artificial intelligence, new ways of simulating moral expertise seem possible, where chatbots can serve as dialogue partners for moral orientation. However, as I will argue, such systems lack a theoretical grounding in metaethics, as do the former approaches. In order to align such systems ethically and ground them conceptually, a topography of moral competence must be developed. By outlining this topography, I will show some directions for further research and how such systems might enhance us morally.

Related

  1. Computational entanglement distillation beyond pure states: efficient protocols and fundamental limitations
    Takeru Utsumi, Jacopo Rizzo, Ryuji Takagi +1
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  2. A computational report on Fibrocystin structure via AlphaFold2: considerations and limitations for ARPKD research
    Taylor Richards, Paraskevi Goggolidou
    Frontiers in Molecular BiosciencesPeer-reviewedCC BY 4.0Full textMolecular biology & gene regulationGeneral biologyFrontiersDOAJ
  3. Microsatellite genotyping and computational inference for genetic management of the Eurasian wild boar (Sus scrofa L., 1758): strengths, limitations, and integrative applications
    Wojciech Lipa, Laura Iacolina, Artur Dzialuk
    BioTechnologiaPeer-reviewedCC BY 4.0Full textGenetics & genomicsPMCEurope PMC
  4. An Ig Nobel for Global Health: The case for laughing at ourselves
    Dhananjaya Sharma
    PLOS Global Public HealthPeer-reviewedCC BYFull textEcologyNeurosciencePLOSEurope PMCPMC
  5. From "Customary Morality" to "Reflective Morality": a physician's personalized competence development facilitated by narrative medicine.
    Jian Bai, Nannan Shi, Jiayi Cheng +4
    Frontiers in medicinePeer-reviewedCC BYFull textPsychiatry & mental healthEurope PMC
BibTeX
@article{richter2026limitations,
  title = {{Limitations of Computational Morality: Can We Morally Enhance Ourselves via AI?}},
  author = {Florian Richter},
  journal = {Science and Engineering Ethics},
  year = {2026},
  month = oct,
  doi = {10.1007/s11948-026-00634-8},
  url = {https://doi.org/10.1007/s11948-026-00634-8},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Limitations of Computational Morality: Can We Morally Enhance Ourselves via AI?
AU  - Florian Richter
PY  - 2026
DA  - 2026/10/22
JO  - Science and Engineering Ethics
DO  - 10.1007/s11948-026-00634-8
UR  - https://doi.org/10.1007/s11948-026-00634-8
AB  - Computational or machine ethics examines how morality could be implemented in machines and represented computationally. In the cognitive sciences, different architectures (rule-based and connectionist) have been proposed. Nevertheless, such approaches have limitations when incorporating ethical claims. With the rise of artificial intelligence, new ways of simulating moral expertise seem possible, where chatbots can serve as dialogue partners for moral orientation. However, as I will argue, such systems lack a theoretical grounding in metaethics, as do the former approaches. In order to align such systems ethically and ground them conceptually, a topography of moral competence must be developed. By outlining this topography, I will show some directions for further research and how such systems might enhance us morally.
SN  - 1353-3452
SN  - 1471-5546
ER  -