We’re already using AI more than we realize

How artificial intelligence hides in plain sight. Subscribe to our channel and turn on notifications (🔔) so you don't miss any videos: http://goo.gl/0bsAjO This video is sponsored by Microsoft Copilot for Microsoft 365. Microsoft has no editorial influence on our videos, but their support makes videos like these possible. We're living through an inflection point for artificial intelligence: From generated images and video to advanced personal assistants, a new frontier of technologies promises to fundamentally change how we live, work, and play. And yet for all the buzz and concerns about how AI will change the world, in many ways, it already has. From spam filters and sentence suggestions in our email inboxes to voice assistants and fitness tracking built into our phones, countless machine learning tools have quietly weaved their way into our everyday lives. But when we're surveyed about which everyday technologies use artificial intelligence and which don't, we aren't particularly good at knowing the difference. Does that matter? Read the Pew Research Center's full report on public awareness of artificial intelligence: https://www.pewresearch.org/science/2023/02/15/public-awareness-of-artificial-intelligence-in-everyday-activities/ Read more of Karen Hao's reporting here: https://karendhao.com/clips Check out this piece from the team at AI Myths about the difficulty with clearly defining AI: https://www.aimyths.org/the-term-ai-has-a-clear-meaning Correction: At 3:22, we mistakenly suggested that the difference between machine learning and deep learning is that in deep learning, data hasn’t been structured and labeled by humans. Deep learning can use unstructured and unlabeled data, but the main differentiating factor is that deep learning uses many layers of neural networks, a branch of machine learning inspired by the human brain. More on deep learning here: https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained Subscribe to our cha