Digital advocacy firms are using AI to generate mass public comments on local energy projects, with most submissions favoring fossil fuel development. The practice is occurring across multiple states including California and North Carolina.
Firms like CiviClick and Influent are leveraging AI capabilities to flood public comment periods on energy policy decisions, according to Bloomberg reporting. Officials reviewing policy changes are receiving inundated submissions through platforms marketed for their artificial intelligence functionality.
The comments predominantly support fossil fuel projects, raising concerns about the authenticity of public input processes. These platforms enable coordinated campaigns at scale, potentially skewing the appearance of public support for specific energy infrastructure.
Public comment periods are designed to gather genuine community feedback on proposed projects. The use of AI-generated submissions raises questions about regulatory transparency and whether decision-makers can distinguish authentic voices from automated advocacy.
The practice underscores growing tensions around AI deployment in political and regulatory processes, where automation can amplify certain narratives while obscuring genuine public sentiment.
Top artificial intelligence researchers in China express worry about an uncontrolled AI race with the United States, citing risks of catastrophic accidents similar to Chernobyl.
Major artificial intelligence research organizations are expanding their hiring to include philosophers, signaling a shift toward embedding ethical considerations into AI development.
Language models may produce polished writing, but their reasoning patterns reveal their artificial nature, according to Pangram CEO Max Spero. The key difference: humans generate diverse arguments on the same topic, while AI systems cluster around similar conclusions.
GLM-5.2 delivers significant performance improvements for open-source AI agents, addressing key limitations in reasoning and task execution capabilities.