Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866914162327683072 |
|---|---|
| author | Calvano, Miriana Curci, Antonio Desolda, Giuseppe Esposito, Andrea Lanzilotti, Rosa Piccinno, Antonio |
| author_facet | Calvano, Miriana Curci, Antonio Desolda, Giuseppe Esposito, Andrea Lanzilotti, Rosa Piccinno, Antonio |
| contents | Artificial Intelligence (AI) spreads quickly as new technologies and services take over modern society. The need to regulate AI design, development, and use is strictly necessary to avoid unethical and potentially dangerous consequences to humans. The European Union (EU) has released a new legal framework, the AI Act, to regulate AI by undertaking a risk-based approach to safeguard humans during interaction. At the same time, researchers offer a new perspective on AI systems, commonly known as Human-Centred AI (HCAI), highlighting the need for a human-centred approach to their design. In this context, Symbiotic AI (a subtype of HCAI) promises to enhance human capabilities through a deeper and continuous collaboration between human intelligence and AI. This article presents the results of a Systematic Literature Review (SLR) that aims to identify principles that characterise the design and development of Symbiotic AI systems while considering humans as the core of the process. Through content analysis, four principles emerged from the review that must be applied to create Human-Centred AI systems that can establish a symbiotic relationship with humans. In addition, current trends and challenges were defined to indicate open questions that may guide future research for the development of SAI systems that comply with the AI Act. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_08046 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework Calvano, Miriana Curci, Antonio Desolda, Giuseppe Esposito, Andrea Lanzilotti, Rosa Piccinno, Antonio Human-Computer Interaction Artificial Intelligence Artificial Intelligence (AI) spreads quickly as new technologies and services take over modern society. The need to regulate AI design, development, and use is strictly necessary to avoid unethical and potentially dangerous consequences to humans. The European Union (EU) has released a new legal framework, the AI Act, to regulate AI by undertaking a risk-based approach to safeguard humans during interaction. At the same time, researchers offer a new perspective on AI systems, commonly known as Human-Centred AI (HCAI), highlighting the need for a human-centred approach to their design. In this context, Symbiotic AI (a subtype of HCAI) promises to enhance human capabilities through a deeper and continuous collaboration between human intelligence and AI. This article presents the results of a Systematic Literature Review (SLR) that aims to identify principles that characterise the design and development of Symbiotic AI systems while considering humans as the core of the process. Through content analysis, four principles emerged from the review that must be applied to create Human-Centred AI systems that can establish a symbiotic relationship with humans. In addition, current trends and challenges were defined to indicate open questions that may guide future research for the development of SAI systems that comply with the AI Act. |
| title | Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2501.08046 |