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AI can do a passable job transcribing what one person says. Add multiple voices and tangents, things get a lot murkier by Sandeep Konam, machine learning expert who trained in robotics at Carnegie Mellon University.
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Imagine holding a meeting about a new product release, after which AI analyzes the discussion and creates a personalized list of action items for each participant. Or talking with your doctor about a diagnosis and then having an algorithm deliver a summary of your treatment plan based on the conversation. Tools like these can be a big boost given that people typically recall less than 20% of the ideas presented in a conversation just five minutes later. In healthcare, for instance, research shows that patients forget between 40% and 80% of what their doctors tell them very shortly after a visit.
You might think that AI is ready to step into the role of serving as secretary for your next important meeting. After all, Alexa, Siri, and other voice assistants can already schedule meetings, respond to requests, and set up reminders. Impressive as today’s voice assistants and speech recognition software might be, however, developing AI that can track discussions between multiple people and understand their content and meaning presents a whole new level of challenge...
Looking to the future, AI that can understand human conversations could lay the groundwork for applications with enormous societal benefits. Real-time, accurate transcription and summarization of ideas could make global companies more productive. At an individual level, having AI that can serve as your own personal secretary can help each of us focus on being present for the conversations we’re having without worrying about note taking or something important slipping through the cracks. Down the line, AI that can not only document human conversations but also engage in them could revolutionize education, elder care, retail, and a host of other services.
Source: Fast Company
