New York – Asterisk Magazine has announced the launch of its AI Blogging Fellowship, a new initiative designed to cultivate nuanced public discourse around artificial intelligence. The program, which offers a $1,000 stipend to participants, aims to support individuals with unique perspectives on AI in developing and publishing their insights. Applications for the fellowship are currently open.
The fellowship seeks to address a perceived gap in the online conversation surrounding AI, encouraging deeper and more thoughtful contributions. As stated in the initial announcement by Asterisk, they are "looking for people with unique perspectives on AI who want to take the first step to writing in public." The program will assist fellows in building their own blogs while providing substantial support.
Participants in the six-week remote fellowship, running from August 24 to October 6, are expected to produce three blog posts. Asterisk will provide comprehensive editorial support, mentorship from leading AI bloggers, and a platform for their work, with selected articles cross-posted to Asterisk's new AI vertical, asteriskmag.ai
. The program requires approximately 10 hours of commitment per week, primarily focused on writing and peer feedback sessions.
The initiative targets individuals with subject matter knowledge and nuanced opinions on AI who may lack experience in public writing. Beyond the financial stipend, the fellowship offers a structured environment for writers to refine their skills through weekly workshops and direct engagement with editors and mentors. This approach is intended to foster a new generation of AI communicators capable of bridging inferential gaps across various AI perspectives.
The Asterisk AI Blogging Fellowship is funded in part through platforms like Manifund, highlighting a community-backed effort to improve the quality of AI-related content. The program emphasizes the importance of accessible explanations and critical evaluations of AI capabilities and societal implications. This fellowship aims to contribute to a more informed and diverse public understanding of AI's complex landscape.