However, there are concerns about the effectiveness and ethical implications of emotion AI. Researchers have argued that human emotion cannot be accurately determined by facial movements, challenging the assumption that AI can be taught to detect human feelings by mimicking how humans do so. Additionally, AI regulation, such as the European Union’s AI Act, which bans computer-vision emotion detection systems for certain uses, may limit the application of emotion AI. Despite these challenges, Silicon Valley continues to invest heavily in AI technology.
Key takeaways:
- Companies are increasingly turning to "emotion AI" to help their AI bots understand human emotions better, according to a report by PitchBook. This technology uses sensors for visual, audio, and other inputs combined with machine learning and psychology to detect human emotion.
- Major AI cloud providers, such as Microsoft Azure and Amazon Web Services, offer services that give developers access to emotion AI capabilities. The rise of bots in the workforce is expected to increase the use of emotion AI in the business world.
- Startups like Uniphore, MorphCast, Voicesense, Superceed, Siena AI, audEERING, and Opsis are being launched to advance emotion AI technology. However, there are concerns about the effectiveness of this technology, as research suggests that human emotions cannot be accurately determined by facial movements.
- Regulations such as the European Union’s AI Act, which bans computer-vision emotion detection systems for certain uses, may limit the development and application of emotion AI. Despite these challenges, the tech industry continues to explore the potential of AI bots in tasks that require emotional understanding.