Enhancing Accuracy and Compliance in Meeting Transcriptions
As organisations increasingly adopt AI-assisted transcription technology to record and transcribe board meetings or clinical multidisciplinary team meetings, challenges arise in ensuring accurate and compliant transcription. One challenge is that board directors or clinicians may use silence to disrupt or influence the discussion and outcomes. This can create difficulties for AI technology in accurately recording and transcribing the meeting.
In meetings, silence can signal agreement, disagreement, or discomfort and influence the direction and outcomes of the discussion. However, AI technology cannot recognise or interpret the nuances of silence like humans can. This can result in inaccurate or incomplete transcriptions that do not capture the full context and meaning of the meeting
To address this, it is essential to have a human expert involved in the transcription process. Human experts can recognise and interpret the nuances of silence and other non-verbal cues in a way that AI technology cannot. By having a human expert “in the loop,” organisations can ensure that the transcription accurately reflects the discussion and outcomes of the meeting.
Additionally, AI’s imperfect nature introduces errors. For example, clinical language or acronyms may be misinterpreted, and accents or speech patterns may not be accurately recognised by AI. Such errors can result in misunderstandings and inaccuracies in the transcription. However, involving a human expert in the process can help identify and correct these errors, ensuring the highest quality of transcription.
Moreover, it is crucial to ensure that the use of AI technology for transcription aligns with relevant regulations and standards, such as data protection and privacy laws. Human experts, equipped with expertise in AI, provide guidance and oversight, ensuring adherence to regulations. Their leadership helps align AI transcription with ethical and legal standards.
Conclusion: AI transcription technology has the potential to offer numerous benefits, but it is important to have human experts involved in the process to ensure accuracy and compliance. Human experts can capture nuances of silence and other non-verbal cues in board meetings or clinical multidisciplinary team meetings that AI may miss.
About: Gary Morgan is an experienced board director, chief executive, consultant, and corporate advisor with deep expertise in strategy, innovation, and growth in the health tech, aged care, agtech, information security, and research sectors. He is a Fellow of the Governance Institute of Australia, Entrepreneur in Residence at The Allied Health Academy and serves on the Griffith University Industry Advisory Board for the ICT School. Gary has co-authored papers and reports published in leading entrepreneurship and medical journals.
References:
“Why AI Isn’t the Future of Transcript Transcription,” Forbes, March 2021 https://www.forbes.com/sites/forbestechcouncil/2021/03/03/why-ai-isnt-the-future-of-transcript-transcription/?sh=6cbceac35a9a
“Artificial Intelligence: The Need for Human Expertise,” Harvard Business Review, September 2018 https://hbr.org/2018/09/artificial-intelligence-the-need-for-human-expertise
“Human in the Loop: How AI Needs Human Help,” TechTalks, July 2020 https://bdtechtalks.com/2020/07/07/human-in-the-loop-ai/
Acknowledgment: This article was composed in part with the assistance of AI technology.
English