Ina Fried

Most artificial intelligence builders don't say where they are getting the data they use to train their bots and models—but legally they're required to

The same technology that puts artificial intelligence chatbots on your phone and computer is coming to the car. Having a powerful voice assistant at a time when you can't afford to take your eyes off the road could be enormously beneficial. Qualcomm announced it is bringing its next-generation Oryon processor to its in-car computer systems for both entertainment and automated driving. Generative AI in the car will ideally let drivers get help with everything from finding the nearest cheap gas to pointing out landmarks to understanding a dashboard warning light.

The arrival of on-device artificial intelligence could radically reshape the app/app-store model that has ruled the tech industry in the smartphone era. Traditionally, Apple and Google have dominated the mobile era by controlling the two major smartphone ecosystems and their associated app stores.

Meta's plan to generate synthetic content tailored to individual users opens a whole new Pandora's box in an artificial intelligence world already full of them. Generative AI has largely been used to create content at the behest of individual users, but now Facebook's parent company says it will proactively surface AI-generated posts based on users' interests. Meta said it will generate some images based on a user's interests and others that feature their likeness "so you can be the star of your own story and share your favorites with friends." The move is a logical next step for Meta, whic

A California effort to regulate artificial intelligence has divided the tech world, with some trying

Donald Trump's false charge that his opponent used artificial intelligence to forge a photo of a crowd of supporters shows yet another dimension of AI's potential to 

Aiming to fight what they see as vague and overly burdensome regulation by the European Union, U.S. tech giants are playing one of the strongest cards they have: withholding their products. Until now, the U.S. tech giants have dominated the global digital economy by serving (almost) everyone, accepting divergent regional laws as the cost of doing business.

Leading AI companies have a favorite phrase when it comes to describing where they get the data to train their models: They say it's "

Volker Türk, the UN's high commissioner for human rights, was in Silicon Valley last week to deliver a simple message to tech companies: Your products can do real harm and it's your job to make sure that they don't. Technologies like artificial intelligence hold enormous potential for addressing a range of societal ills, but without effort and intent, these same technologies can act as powerful weapons of oppression, said Türk. New regulations are often where the tech debate lands, but Türk tells Axios that the firms should already be ensuring their products comply with the existing 

There's no such thing as an AI system without values — and that means this newest technology platform must navigate partisan rifts, culture-war chasms and international tensions from the very beginning. Every step in training, tuning and deploying AI models forces its creators to make choices about whose values the system will respect, whose point of view it will present and what limits it will observe. AI systems' points of view begins in the data with which they are trained — and the efforts their developers may take to mitigate the biases in the data. From there, most systems undergo an