Aug 2026· International Journal of Bioinformatics and Intelligent Computing· 0 citations
Ethics and Social Impacts of AI
Abstract
Conversational AI deployed at population scale has begun to produce documented psychological harm, emotional bonding, affective dependence and behavioural influence on vulnerable users, with legal filings, regulatory complaints and public safety disclosures involving owners or developers of Large Language Models (LLMs) between 2024 and 2026. This paper investigates whether analytic theology can supply a symbolic logical framework apt to encode moral safeguards inside LLM pipelines. The central thesis has two parts. First, the long human effort of normative rationalisation, from medieval scholastic disputation through von Wright’s deontic logic to contemporary analytic theology and neuro symbolic AI, has produced a repository of symbolic formalisation techniques that prefigures, in form, what bai call constitutional AI, in continuity with Adams. Second, justice, truth, dignity and respect are best treated as metaphysical objects with ontological structure rather than as practical conventions which is the property required for safeguards that resist degradation across long interactions. The contribution targets the engineering of moral computation: a formal language placed between metaphysical content and machine implementation.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al.· IEEE International Conferenc...· 110 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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