Thomas covers AI in all its iterations. Writer at Neural by TNW -- Thomas covers AI in all its iterations. Proponents of the approach argue that it can eliminate human prejudices, but critics warn that algorithms can amplify our biases -- without even revealing how they reached the decision. This can result in AI systems leading to Black people being wrongfully arrested, or child services unfairly targeting poor families. The victims are frequently from groups that are already marginalized.

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Business adoption of artificial intelligence is picking up steam, but still today only 20 percent of organizations that are aware of AI actually use this rapidly advancing technology. One reason: many executives are still wondering, "What can AI do for my business?" Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to find out about current and future applications of AI. An edited version of the experts' remarks follows the video. Rajat Monga, engineering director, TensorFlow, Google: AI is going to be part of nearly every application we have around us.

From the stage of F8, Joaquin Quinonero, Facebook's Director of Applied Machine Learning, described a new technique the company is using to improve the watching experience for 360 videos. The format is challenging to deliver because of its size, but Facebook is using machine learning to reduce the number of pixels that have to be rendered at any one time. By predicting where a viewer will look next, rendering priority can be given to that location -- particularly helpful for users with lower quality internet access. The status quo for 360 videos is reactive rather than proactive rendering. Mike Coward, engineering director for Facebook's VR video team echoed the frustration of users to me when he described the unpleasantness of turning your head in VR only to see a blurry scene.

Google's Hartmut Neven demonstrates his visual-search app by snapping a picture of a Salvador Dali clock in his office building. Google and other tech companies are racing to improve image-recognition software Computers can recognize some objects in images, but not all Google's engineering director predicts the technology will fully mature in 10 years Google's engineering director predicts the technology will fully mature in 10 years Santa Monica, California (CNN) -- Computers used to be blind, and now they can see. Thanks to increasingly sophisticated algorithms, computers today can recognize and identify the Eiffel Tower, the Mona Lisa or a can of Budweiser. Still, despite huge technological strides in the last decade or so, visual search has plenty more hurdles to clear. At this point, it would be quicker to describe the types of things an image-search engine can interpret instead of what it can't.