Atlassian’s Mike Cannon-Brookes: AI agents need a name tag—and a human to be accountable for their mistakes
Cannon-Brookes says the hardest part of putting agents to work isn’t the model but the interface and the accountability.
Atlassian co-founder Mike Cannon-Brookes is advocating for accountability in the use of AI agents in the workplace, urging users to recognize that "the AI did it" should never be an excuse. On the sidelines of the Singapore Grand Prix, Cannon-Brookes explained that Atlassian's new "Agentic Multiplayer Protocol" turns AI agents into visible, governed members of work teams with distinct profiles and owner attribution.
An AI agent's edits should be visible in a document's history, just like a human colleague's edits. Cannon-Brookes believes that AI agents are performing complex operations behind the scenes, which could be problematic in a professional setting. He cited the risk of leaking sensitive information and the need for proper permissions, security, and compliance measures.
Additionally, most AI interfaces are difficult to understand, leading most users to only utilize basic functions. To address this, Cannon-Brookes emphasized the importance of creating familiar design patterns, such as allowing users to link their Atlassian accounts with third-party tools and seamlessly toggling between them. Atlassian, which originated in Australia, has seen significant growth in recent years, generating $1.8 billion in revenue in the quarter ended June 30, 2023.
Cannon-Brookes believes that Australia's technology ecosystem is thriving, with the country exporting and producing technology at a rate that aligns with global standards.
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