2018/06/01 by Ville Vakkuri, Pekka Abrahamsson
Computer Science · Engineering · Mathematics · Neuroscience · Social Sciences · #Artificial intelligence #Computer science #Conceptualization #Engineering #Engineering ethics #Ethics and Social Impacts of AI #Field (mathematics) #Focus (optics) #Key (lock) #Knowledge management #Management science #Mathematics #Neuroethics, Human Enhancement, Biomedical Innovations #Psychology of Moral and Emotional Judgment #cs.AI
paper · pdf · doi:10.1109/ice.2018.8436265
published as 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Stuttgart, 2018 · This is the author's version of the work. The copyright holder's version can be found at http://dx.doi.org/10.1109/ICE.2018.8436265
openalex publication_date 2018/06/01 · arxiv created 2018/09/19 · arxiv updated 2018/09/20 · openalex created_date 2020/11/23 · openalex updated_date 2026/07/29
The growing influence and decision-making capacities of Autonomous systems and Artificial Intelligence in our lives force us to consider the values embedded in these systems. But how ethics should be implemented into these systems? In this study, the solution is seen on philosophical conceptualization as a framework to form practical implementation model for ethics of AI. To take the first steps on conceptualization main concepts used on the field needs to be identified. A keyword based Systematic Mapping Study (SMS) on the keywords used in AI and ethics was conducted to help in identifying, defying and comparing main concepts used in current AI ethics discourse. Out of 1062 papers retrieved SMS discovered 37 re-occurring keywords in 83 academic papers. We suggest that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.