Fairness, Transparency, and Accountability (FTA) in navigating Ethical Quagmires in AI Chatbot Governance
As AI chatbots advance towards human-like interactions, the urgency for robust ethical frameworks intensifies, exposing the inadequacies of current governance mechanisms. The concept of AI constitutions, while pioneering, remains aspirational, with existing guidelines lacking the comprehensiveness to mitigate potential abuses effectively. The reliance on Reinforcement Learning by Human Feedback (RLHF) is fundamentally flawed, failing to offer a nuanced ethical compass or transparency in decision-making. Furthermore, the so-called AI guardrails demonstrate vulnerability, easily bypassed by trivial manipulations. This scenario underscores the critical need for a dynamic, interdisciplinary approach to AI governance, incorporating diverse perspectives beyond the technological realm to navigate the ethical complexities inherent in AI development and deployment.