# Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework

arXiv: https://arxiv.org/abs/2501.08046 · HTML: https://mlsanity.com/paper/2501.08046/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 89 references that are in the map.
- First posted on arXiv 14 Jan 2025.

## Builds on (most cited first, 9 of 9)

- [Green AI](https://mlsanity.com/paper/1907.10597/) (2019)
- [Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy](https://mlsanity.com/paper/2002.04087/) (2020)
- [Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation](https://mlsanity.com/paper/2111.05071/) (2021)
- [Use case cards: a use case reporting framework inspired by the European AI Act](https://mlsanity.com/paper/2306.13701/) (2023)
- [The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future](https://mlsanity.com/paper/2211.13960/) (2022)
- [Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?](https://mlsanity.com/paper/2302.10766/) (2023)
- [A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities](https://mlsanity.com/paper/2407.10369/) (2024)
- [Legal Provocations for HCI in the Design and Development of Trustworthy Autonomous Systems](https://mlsanity.com/paper/2206.07506/) (2022)
- [Software Doping Analysis for Human Oversight](https://mlsanity.com/paper/2308.06186/) (2023)

## Built on by (most cited first, 2 of 2)

- [Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections](https://mlsanity.com/paper/2603.18914/) (2026)
- [Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology](https://mlsanity.com/paper/2504.04833/) (2025)

## Abstract (arXiv)

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.