Since the second half of last year, AI transcription has been firmly on the agenda.
Organisations are increasingly reaching for AI tools to record, transcribe or summarise meetings. AI tools promise to reduce the time spent preparing notes and action lists, they provide searchable records of meetings and they may be used to capture institutional knowledge. Businesses are moving quickly to pilot and deploy a variety of use cases, using a range of tools, targeting different types of meeting and, at the frontier, exploring sophisticated uses for the AI-generated outputs.
The opportunities presented and pace of uptake is clear. In this blog we identify some of the key legal issues to consider when building or deploying AI transcription tools and discuss the potential mitigants that may help businesses to capitalise on these tools and maintain momentum, whilst managing potential risks. As for any AI use case, good AI governance should not only manage a wide and uncertain array of risks,
