The increasing integration of Artificial Intelligence (AI) in digital ecosystems has reshaped privacy dynamics, particularly for young digital citizens navigating data-driven environments. This study explores evolving privacy concerns across three key stakeholder groups, digital citizens (ages 16-19), parents/educators, and AI professionals, and assesses differences in data ownership, trust, transparency, parental mediation, education, and risk-benefit perceptions. Employing a grounded theory methodology, this research synthesizes insights from 482 participants through structured surveys, qualitative interviews, and focus groups. The findings reveal distinct privacy expectations: Young users emphasize autonomy and digital freedom, while parents and educators advocate for regulatory oversight and AI literacy programs. AI professionals, in contrast, prioritize the balance between ethical system design and technological efficiency. The data further highlights gaps in AI literacy and transparency, emphasizing the need for comprehensive, stakeholder-driven privacy frameworks that accommodate diverse user needs. Using comparative thematic analysis, this study identifies key tensions in privacy governance and develops the novel Privacy-Ethics Alignment in AI (PEA-AI) model, which structures privacy decision-making as a dynamic negotiation between stakeholders. By systematically analyzing themes such as transparency, user control, risk perception, and parental mediation, this research provides a scalable, adaptive foundation for AI governance, ensuring that privacy protections evolve alongside emerging AI technologies and youth-centric digital interactions.

This paper explores the potential of a multidisciplinary approach to testing and aligning artificial general intelligence (AGI) and LLMs. Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability, and predictability of these models have become important research topics. This study investigates an innovative simulation-based multi-agent system within a virtual reality framework that replicates the real-world environment. The framework is populated by automated 'digital citizens,' simulating complex social structures and interactions to examine and optimize AGI. Application of various theories from the fields of sociology, social psychology, computer science, physics, biology, and economics demonstrates the possibility of a more human-aligned and socially responsible AGI. The purpose of such a digital environment is to provide a dynamic platform where advanced AI agents can interact and make independent decisions, thereby mimicking realistic scenarios. The actors in this digital city, operated by the LLMs, serve as the primary agents, exhibiting high degrees of autonomy. While this approach shows immense potential, there are notable challenges and limitations, most significantly the unpredictable nature of real-world social dynamics. This research endeavors to contribute to the development and refinement of AGI, emphasizing the integration of social, ethical, and theoretical dimensions for future research.

In collaboration with Matthew James Bailey (leading authority, pioneer, and consultant in innovation, AI and AI Ethics, Smart Cities, IoT, and a renowned author), this brand new white paper focusses on the role played by artificial intelligence (AI) in shaping the future experience of Smart Cities. Cities are recognizing that human-centric systems are far too inefficient and continually fail to meet local challenges and requirements of the general public for high-quality delivery of service. We have seen this globally with the COVID-19 pandemic. As such, cities are recognizing that data is the new digital citizen that enables city services to become data-centric and automated to serve every aspect of the societal experience. In doing so, cities are forging towards an intelligence-based city, where city data can be used to train artificial intelligence to become digital citizens dedicated to assisting cities to leap ahead in every aspect of the societal experience.

Sophia is the first artificial intelligence to be granted a citizenship. The world reacted with equal parts shock and awe when the news broke that the Kingdom of Saudi Arabia had given citizenship to Sophia, an Artificial Intelligence designed by Hanson Robotics. Some celebrated this momentous achievement in human history, while many others reacted with fear. Regardless of how you feel about artificial intelligence, Sophia is a huge step forward in artificial intelligence technology, showcasing the potential impact this technology will have on humankind. Hanson Robotics is determined to create AIs that are benevolent, and they believe the best approach to doing this is with SingularityNET, a decentralized, token-based artificial intelligence economy.