The tension between openness and prudence in AI research
It addresses the problem of balancing openness and prudence in AI research for the AI community, with implications for publication practices.
This paper examines the tension between open sharing and cautious publication in AI research, as highlighted by the Montréal Declaration, and explores how differing beliefs and values influence perspectives on responsible publication norms.
This paper explores the tension between openness and prudence in AI research, evident in two core principles of the Montréal Declaration for Responsible AI. While the AI community has strong norms around open sharing of research, concerns about the potential harms arising from misuse of research are growing, prompting some to consider whether the field of AI needs to reconsider publication norms. We discuss how different beliefs and values can lead to differing perspectives on how the AI community should manage this tension, and explore implications for what responsible publication norms in AI research might look like in practice.