## 1 Introduction
In this line, going beyond technical performance, the ethical deployment of AI in socio-technical systems requires alignment with values such as fairness, privacy, accountability, and transparency. AI for social good is, thus, not merely a design ambition but a governance imperative, with the ethical infrastructure having to ensure that interventions do not unintentionally replicate harm or reinforce existing inequalities. The increased reliance on AI in domains involving vulnerable populations makes ethical governance not just preferable but essential. Given the aforementioned paradox, the governance issue becomes imperative and hinges on a core dilemma on how AI systems can be designed to maximize their capacity to protect while minimizing their potential for abuse in such sensitive, high-stakes applications, such as in the prevention of sexual exploitation. Blockchain technology, with its core capacities of immutability, decentralization, and auditability, is a possible proposition in this respect, not without its challenges. Although both technologies have been studied separately in the context of digital abuse, their integration specifically for enhancing the ethical governance of AI in sextortion mitigation remains insufficiently examined, as will be shown in the first stage of the research. The intersection of these topics is not yet fully addressed, and, when addressed, current frameworks fail to provide comprehensive guidelines for leveraging these complementary technologies to enhance societal resilience against digital sexual exploitation. Thus, notably, sextortion becomes a paradigmatic case due to its multi-layered risks and trans-jurisdictional legal gaps, in which AI and blockchain may interact with societal vulnerabilities and allow for proper testing for ethical governance frameworks. Consequently, the goal of this position paper is to address this gap and propose a conceptual framework for blockchain-integrated AI (BIAI) operations that mitigate ethical issues in AI-based anti-sextortion tools (CF-BIAI-SXT). For this, the research question we focus on in this position paper is _\"How can blockchain technology's core capacities be integrated with AI systems to address ethical challenges in sextortion detection to strengthen societal resilience through enhanced governance, transparency, and privacy mechanisms?\"_ The framework leverages blockchain's decentralization, immutability, and auditability to enhance AI transparency and ethical governance while preserving privacy, essential qualities in sensitive applications like sextortion mitigation. To properly address this question and develop the framework, we first propose the methodology of this research and its preliminaries in Section 2--_Methodological Approach and Conceptual Foundations_. Section 3 provides the initial results from the literature review carried out, outlining AI ethical issues and the role of blockchain in addressing them. Section 4 proposes a privacy-first framework for integrating blockchain into AI systems and relevant discussions that emerge. The conclusion of this work is presented in Section 5, including the limitations and future work.