TLDR: A recent Asana survey of 2,025 knowledge workers in the UK and US highlights significant employee concerns regarding the accountability and governance of AI systems. While 77% of workers are already using AI, a third are unsure of responsibility when AI errors occur, and nearly two-thirds distrust AI agents. Employees also desire clearer guidelines and training for AI integration.
A new survey conducted by Asana, involving 2,025 knowledge workers across the United Kingdom and the United States, has brought to light a growing apprehension among employees regarding the accountability and governance of Artificial Intelligence (AI) systems in the workplace. The findings, released on October 12, 2025, indicate a significant gap between the rapid adoption of AI tools and the clarity surrounding their responsible use.
The survey reveals that a substantial 77% of workers are already leveraging AI agents to streamline operations and handle repetitive tasks. This adoption is projected to accelerate, with employees expecting to delegate up to 34% of their work to AI by next year, a figure anticipated to rise to 43% within three years. However, this enthusiasm is tempered by considerable concerns.
A striking 33% of respondents expressed uncertainty about who bears responsibility when AI-generated results go awry. This lack of clear accountability raises serious questions, particularly for smaller organizations that may not have robust governance frameworks in place. Mark Hoffman, Asana’s Head of Work Transformation, articulated this sentiment, stating, “Knowledge workers worry about ownership. Ultimately, when an AI agent creates work… do I still own that work?”
Beyond accountability, trust in AI remains a significant hurdle. Nearly two-thirds of employees perceive AI agents as untrustworthy, frequently believing that these tools are prone to errors or misunderstand instructions. This skepticism underscores a need for improved reliability and transparency in AI systems.
Furthermore, the survey uncovered a paradoxical concern: nearly half of the respondents believe that AI agents could potentially increase their workload rather than alleviate it. This suggests that without proper integration and clear guidelines, AI tools might add complexity rather than efficiency. In response to these challenges, more than 52% of employees expressed a strong desire for clearer guidance on the distribution of responsibilities between human workers and AI, alongside structured training programs to effectively utilize these agents.
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The insights from this study suggest that while AI integration is inevitable and largely embraced, organizations must prioritize establishing comprehensive governance frameworks, clear accountability protocols, and robust training initiatives to build trust and ensure a smooth, responsible transition into an AI-augmented workforce.
