Analysis on Artificial Intelligence Regulations by Professor Victoria Sutton
Prof. Dr. Victoria Sutton examines the challenges in regulating emerging technologies such as artificial intelligence by comparing them with past experiences in hydrogen, nanotechnology, and biological agents.
In her article, Professor Victoria Sutton discusses the challenges faced in regulating artificial intelligence technology and emphasizes that the nuclear energy model is not suitable for this field.
Challenges of Regulating Artificial Intelligence
Creating a regulatory framework for emerging technologies is a major endeavor that requires working among institutions with different cultures and missions. This process partly aims to identify gaps that may exist in a speculative future.
Past Regulatory Experiences
In the past, it was seen that the scope of existing laws in areas such as hydrogen and nanotechnology was sufficient with some adjustments to regulate these threats. In biological agents, however, the adoption of the nuclear model led to certain incompatibilities.
Insuitability of the Nuclear Model for Artificial Intelligence
Unlike nuclear energy, artificial intelligence relies on components that are easily transmitted and replicated over the internet, such as special chips, codes, data sets, and algorithmic structures. Therefore, nuclear inspection regimes cannot adapt to artificial intelligence.
The Acceleration Problem and Legal Developments
While technology changes exponentially, social and legal systems change incrementally, creating an acceleration problem. Various legal steps regarding artificial intelligence have been taken across different countries and administrations.
Future Outlook
At the current stage, it is stated that flexible approaches should be adopted rather than choosing an early regulatory model for artificial intelligence. Over time, the risks of the technology will be understood more clearly, and the most appropriate path for oversight will become apparent.