caution street sign with the figure of a person in a different position, off to the side
Feature

The Double-Edged Sword of Using AI in Meetings

5 minute read
David Barry avatar
By
SAVED
While AI can improve efficiency and inclusivity in meetings, it must be wielded responsibly. Some considerations to keep in mind.

As artificial intelligence (AI) continues to reshape today’s business environment, its integration into meeting workflows has emerged as a significant area of focus.

AI-driven tools — ranging from real-time transcription and automated summaries to action item detection and participant analytics — are increasingly embedded in daily operations. Advocates highlight AI's potential to boost efficiency, promote inclusivity and improve post-meeting accountability.

However, the widespread adoption of these technologies also raises concerns around data privacy, contextual interpretation and the loss of human interaction. 

The AI Meeting Advantage

One of the most compelling arguments for AI in meetings revolves around its ability to boost productivity. "AI eradicates the meeting productivity killer: frantic note-taking," said Ryan Zhang, CEO of Notta.ai, an AI-powered productivity platform. When individuals are freed from the demanding role of a scribe, they can engage, listen and contribute meaningfully to the discussion, fostering a more dynamic and effective meeting environment, he said.

The real productivity surge manifests after the meeting concludes, Zhang noted. What once took 30-45 minutes of manual follow-up note-taking is condensed into a fraction of a second. Teams gain immediate access to action items and searchable transcripts, saving, by Notta's measurements, up to 50% of their follow-up time, redirecting it to "actual work" and driving tangible business outcomes.

The best AI meeting tools act like "silent ops partners" that "capture, tag and summarize,” said Vinod Goje, a data-driven solutions and applied AI expert at Bank of America. AI helps "slash the fluff," allowing participants to focus on critical thinking, discussion and decision-making rather than administrative burdens, he said. The return on investment comes when AI reduces administrative overhead, not when it attempts to replace the core human element of discussion, Goje told Reworked.

Making Meetings More Inclusive

Beyond raw productivity, AI tools could create more inclusive meeting environments, Zhang said, calling it a major AI strength. Real-time transcription, for instance, helps non-native speakers follow complex conversations more easily, while multi-language support includes global participants.

AI's live captioning is a game-changer that allows individuals who are hearing-impaired to participate. AI also levels the playing field for introverts and those who process information differently, as available transcripts allow thoughtful, unpressured follow-ups, Zhang said. Junior members gain equal context as executives, preventing overlooked contributions.

AI can also improves inclusion by prompting participation, said Arie Brish, a former technology executive and current professor at St. Edward's University. "AI can flag the meeting asking for XYZ's opinion, since XYZ hasn't spoken yet, or AI already knows the people and will know that XYZ may have a strong opinion on the subject matter,” he said. This proactive prompting helps make sure all voices, regardless of personality or communication style, have an opportunity to contribute.

Navigating AI Meeting Risks

Despite the advantages, integrating AI into meetings is not without its risks. A central concern is passive consumption. Teams may begin to treat AI summaries as "gospel," ignoring nuance, context or emotional undertones. Zhang warned against making poor decisions based solely on AI summaries, a reliance that also leads to disengagement because "the AI will get everything." AI must supplement human judgment, not substitute it, he said. While AI excels at capturing information, humans must still determine its significance.

The need to remain aware of the "invisible attendee" — the AI notetaker — is reinforced by Kevin Dugan, VP of analytics and marketing Intelligence at DMi Partners. AI records everything, including "small talk, banter and even anything that an in-person notetaker would realize is off the record,” he said. This can stifle informal discussion or result in the distribution of inappropriate content. “Attendees need to be mindful of its presence and understand the potential lack of discretion when note taking,” he warned.

Another risk involves distraction and overwhelming attendees. Real-time transcription can interrupt some users, suggesting AI should be kept in the background, Zhang said. A greater issue is notification overload from constant summaries and reminders, requiring intelligent implementation and clear sharing procedures to prevent barraging users.

AI-Generated Output and Privacy Concerns

The effectiveness of AI-generated summaries and action items is a mixed bag. Zhang finds AI excels at concrete decisions and timelines but struggles with the "why" or subtle "handshake deals." Effective use relies on clear meeting language, advocating for humans to review AI output as a "solid foundation." 

AI recaps are solid for surface-level clarity, but lack "nuance, tone or real accountability," emphasizing human oversight is essential, Goje agreed. Privacy concerns arise when using AI to record and analyze meetings. Privacy extends beyond technical security; awareness of recording can lead to self-censorship, hindering sensitive discussions vital for business, he said. Companies need transparent consent, data storage and access governance, and users need to feel secure.

Brish acknowledges these privacy concerns, noting requests to disable AI recording for confidential meetings. While easier in video calls, it's harder in person. His radical solution for confidential meetings: "Don't allow electronic devices in the room if the meeting is confidential."

Best Practices for AI Meeting Integration

Several best practices have emerged for effective AI meeting tool use. Zhang recommended starting with governance: establishing solid policies on recording permission, data storage and access. "Turn off AI when stakes get personal or strategic." He told Reworked, "Consent, clarity, and compliance aren’t optional; they’re the baseline."

Organizations should educate teams on structuring meetings for better AI outcomes, including concise language for action items and clear enunciation.

Human oversight remains paramount. Zhang, Goje and Brish all stressed requiring human vetting for AI summaries before sharing. Teams should be encouraged to add context or corrections. The most effective implementations view AI as a "productivity multiplier," not a human replacement.  Mindful implementation is key; the goal should be to improve collaboration without replacing the human element. AI tools should "blend in," avoiding distractions and notification overload.

The Future of AI in Meetings 

The landscape of AI in meetings is evolving, Brish said. "These technologies are moving so fast that whatever is true today won't be the case three months from now." Future challenges include AI's ability to interpret hidden or subtle messages, understand cultural variations in communication and accurately interpret accents.

Learning Opportunities

Ultimately, the successful integration of AI into meetings hinges on a balanced approach. While AI improves efficiency and inclusivity, it must be wielded responsibly. By prioritizing transparency, human oversight and thoughtful implementation, organizations can use AI to improve productivity and foster more effective collaboration, so technology serves humanity, rather than the other way around.

"AI is a co-pilot, not the pilot,” Goje said. "Humans still make the calls."

Editor's Note: Can't get enough of online meeting talk? You're in luck: 

About the Author
David Barry

David is a European-based journalist of 35 years who has spent the last 15 following the development of workplace technologies, from the early days of document management, enterprise content management and content services. Now, with the development of new remote and hybrid work models, he covers the evolution of technologies that enable collaboration, communications and work and has recently spent a great deal of time exploring the far reaches of AI, generative AI and General AI.

Main image: Belinda Fewings | unsplash
Featured Research