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Companies are using AI to monitor your mood during sales calls. Zoom might be next.

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Virtual sales meetings have made it tougher than ever for salespeople to read the room. So, some well funded tech providers are stepping in with a bold sales pitch of their own: that AI can not only help sellers communicate better, but detect the "emotional state" of a deal -- and the people they're selling to. In fact, while AI researchers have attempted to instill human emotion into otherwise cold and calculating robotic machines for decades, sales and customer service software companies including Uniphore and Sybill are building products that use AI in an attempt to help humans understand and respond to human emotion. Virtual meeting powerhouse Zoom also plans to provide similar features in the future. "It's very hard to build rapport in a relationship in that type of environment," said Tim Harris, director of Product Marketing at Uniphore, regarding virtual meetings.


Emotion AI's risks and rewards: 4 tips to use it responsibly

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Over the past two weeks, emotions have run high around the evolution and use of emotion artificial intelligence (AI), which includes technologies such as voice-based emotion analysis and computer vision-based facial expression detection. Video conferencing platform Zoom came under fire after saying it might soon include emotion AI features in its sales-targeted products. A nonprofit advocacy group, Fight for the Future, published an open letter to the company: It said Zoom's possible offering would be a "major breach of user trust," is "inherently biased," and "a marketing gimmick." Meanwhile, Intel and Classroom Technologies are working on tools that use AI to detect the mood of children in virtual classrooms.


Surveillance AI needs fake data to track people. These companies are supplying it.

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Companies are building software that uses AI to monitor people's behavior and interpret their emotions and body language in real life, virtually and even in the metaverse. But to develop that AI, they need fake data, and startups are stepping in to supply it. Synthetic data companies are providing millions of images, videos and sometimes audio data samples that have been generated for the sole purpose of training or improving AI models that could become part of our everyday lives in controversial forms of AI such as facial recognition, emotion AI and other algorithmic systems used to keep track of people's behavior. While in the past companies building computer vision-based AI often relied on publicly available datasets, now AI developers are looking to customized synthetic data to "address more and more domain-specific problems that have zero data you can actually access," said Ofir Zuk, co-founder and CEO of synthetic data company Datagen. Synthetic data companies including Datagen, Mindtech and Synthesis AI represent a corner of an increasingly compartmentalized AI industry.


Dear Zoom,

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It's us--the millions of people who learned your name during the pandemic and have stuck with you through thick and thin to make you the most successful video platform on the web. We rely on you for work calls, town halls, and word games with our families. We like you, we really do. But we're getting worried about you. Protocol reported that you're planning a feature that claims to track and analyze our emotions.


How to feel about emotion recognition software - Verdict

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Alexa, Siri and Cortana may sound like the top three hipster baby names in 2021, but they are actually Amazon, Apple and Microsoft's virtual assistants. In recent years, we have experienced a boom in speech recognition tools that understand what we are saying. And soon they could also understand how we are feeling. The list of companies working on the development of emotion recognition technology is growing exponentially, and investors appear to be excited when it comes to emotionally intelligent tech. The industry is undoubtedly booming, with estimates predicting that the global emotional intelligence market will grow to $64m by 2027. The most common form of emotion detection software uses cameras to record and analyse facial expressions, body movements and gestures to detect how people are feeling.