Welcome to the most recent edition of AI Weekly. This week, issues and innovations related to conversational AI and emotion AI were everywhere.
- Why conversational AI is an effective listening tool
- How conversational AI makes customer service smarter
- A report that found that conversational AI bots should unify calling, messaging and analytics
Adding to my latest feature,Emotion AI, you should use it responsibly, and my latest application, which includes voice-based emotion analysis and computer vision-based facial expression detection, is examining a recent pushback.
Two interesting discussions I didn''t include in the book:
- Is emotion AI simply the next evolution of conversational AI?
Uniphore, an aconversational AI subsidiary with headquarters in Palo Alto, California, and India, received $400 million in additional investment and a valuationback in February. In January 20, it launched its Q for Sales tool, which uses advanced facial emotion recognition and eye-tracking technology to enhance interaction between people. Last month, it launched a software program called Cognition, which used automated speech recognition and natural language processing to capture and make recommendations on the emotional spectrum of sales conversations.
GooglerTimnit Gebru, who founded an independent AI ethics research facility in December 2021, was criticised on Twitter. The trend of embedding pseudoscience into AI systems is so big, according to a researcher.
Emotional AI is simply the next evolution of conversational AI. Thats what Uniphore''s vice president said by email. Taking into account all of the communication techniques for real-time human interactions, people and businesses will benefit from additional insights from conversational AI and automation solutions, he said. This is especially true in sales and customer success interactions where listening and understanding are critical for enterprise sales and customer retention.
- Is emotion AI headed for the metaverse?
The connection between digital avatars and emotion AI, which might lead to the formation of virtual emotional beings, is a fascinating journey, according to Annette Zimmerman, the company''s head analyst.
It''s still likely that a decade will be required to evolve into a mature metaverse, but when it does, these virtual beings that project emotions will be a significant part of that, according to the author. At some point, you might not be able to distinguish whether you are sitting in front of a real person or an avatar.
Theresa Kushner, a data and analytics practice leader at NTT Data Services, said she considers using emotion AI in conjunction with avatars that can respond like humans is a fascinating future use case.
Digital individuals may pick up on your unhappiness and respond in a way they alleviated their unhappiness, according to she. Unlike real people, digital people never tire after a 10-hour shift, which is particularly important for customer service and experience. This technique may be used in conjunction with emotion AI to identify people who suffer self-harm, but this would be particularly beneficial for call-in calls and online support. These lifesaving resource centers may also better identify at-risk individuals and respond accordingly.
Vielen Dank fur Ihren Besuch.
@sharongoldman on Twitter
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