New data needs to be introduced to the AI regularly and, again, not be biased between the different races, genders, and accents. Vast knowledge and expertise are required to understand this specialized industry. The pharmaceutical industry is changing daily and new drugs and regulations are constantly being introduced. The authors advise healthcare providers, “If the data collected is biased, that is, it targets a particular race, a particular gender, a specific age group, then the resulting model will be biased.” If that data comes with a bias towards a particular accent, the resulting transcription will be less accurate. According to this article, AI systems rely on training data sets to “learn” how to transcribe conversations. Recommended AI News: Rising Network Automation Unlocks Massive Growth Opportunities Across 5G And, when you pair these inaccuracies with people whose native language isn’t English, it’s a minefield.” Unfortunately, lots of AI software companies are offering this service and transcription companies are jumping on the bandwagon. She states, “What many healthcare providers don’t realize is how bad the AI software is at producing accurate transcripts. With 25 years in the transcription industry, serving both pharmaceutical and medical clients, Alphabet founder Denise Elsdon sounds the alarm against transcription services that have switched to AI-generated transcription, particularly in the healthcare sector. Herts-based Alphabet Transcription Specialists are bucking the trend of AI-driven transcription processes to ensure life-saving accuracy for their clients in the healthcare industry. Reports have found error rates of just over 23% when using AI transcription, which is too high when human lives are involved.
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