AI Safety and the Age of Dislightenment (2023) (www.fast.ai)

A recent white paper titled "Frontier AI Regulation: Managing Emerging Risks to Public Safety" (FAR) argues for stringent licensing and surveillance of AI models to mitigate existential risks posed by advanced systems. However, critics caution that such regulation may lead to an undesirable concentration of power among a few major tech companies, undermining the principles established during the Enlightenment, like openness and collaboration. With the fear of misuse and catastrophic outcomes, there’s a call for a more balanced approach that doesn't stifle innovation or centralize control. The implications are profound: if regulations restrict access to foundational AI models, only those within powerful organizations could leverage them, possibly leading to a society where only a select few possess advanced AI capabilities. This power imbalance could foster inequality, violence, and exacerbate social issues. Advocates suggest instead fostering open-source development to democratize AI, enabling a broader range of contributors to identify risks and enhance safety. As AI technology evolves rapidly, the conversation around regulation must be cautious and flexible, focused on addressing immediate harms rather than creating an impenetrable regulatory barrier that stifles public engagement and collaboration.