TABOO - TRANSGRESSION - TRANSCENDENCE

The rise of AI in intimate settings, such as AI companions in SexTech, presents ethical challenges. These systems have the potential to transform access to pleasure, alleviate loneliness, and democratize sexual education. However, they raise critical concerns around privacy, consent, and societal norms, particularly in culturally diverse contexts. My research aims to address these challenges by developing ethical frameworks that guide AI design in intimate contexts, ensuring privacy protection, consent, and inclusivity across cultural, linguistic, and religious boundaries.

Ethical safeguards will include transparency in AI processes, user control over personal data, and consent mechanisms tailored to individual needs. Drawing on value-sensitive design (VSD), the project will ensure AI systems align with human values and societal expectations.

To address cultural adaptability, I will explore how AI can dynamically adjust to diverse religious, cultural, and linguistic values. Key features will include customizable ethics settings, adjustable content filters, and multilingual support. Inclusivity is central to the project, and AI models will be trained on diverse datasets to reduce bias and promote fairness across different user groups.

This research follows a user-centered design approach, incorporating cross-cultural research, prototype development, and iterative feedback. In the first phase, I will conduct interviews across cultural contexts to gather insights into user needs and ethical concerns. These insights will guide the design of AI prototypes with adaptive features, which will be tested and refined based on diverse user feedback. Regular ethical audits will ensure the system remains fair and aligned with global standards, creating new standards where necessary. The project will deliver an AI prototype designed to respect privacy, foster inclusivity, and adapt to varied cultural values, along with a comprehensive ethical framework for AI in intimate contexts.