Platforms

CEO's from Meta, Snap, X, TikTok, and Discord testified in a contentious and emotional Senate hearing on child online safety. Lawmakers invoked the stories of online child abuse victims—many of whom sat directly behind the tech leaders—to issue a stunning rebuke to Meta's Mark Zuckerberg and other executives.

There's one thing uniting big and small tech companies operating in Europe: they can't stand Apple's approach to complying with the European Union's new Digital Markets Act (DMA). The DMA designates six big tech companies as online gatekeepers—Alphabet, Amazon, Apple, ByteDance, Meta, and Microsoft—and obligates them to open their platforms to competition. Apple's DMA compliance plan allows developers to set up alternative app stores and avoid Apple's in-app payment system.

Social media platforms faced a range of controversies in recent years, including concerns over misinformation and data privacy. Even so, US adults use a wide range of sites and apps, especially YouTube and Facebook. And TikTok – which some Congress members previously called to ban – saw growth in its user base. According to a Pew Research Center survey of 5,733 U.S. adults conducted May 19-Sept. 5, 2023:

President Biden issued a landmark Executive Order to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI). On January 29, Deputy Chief of Staff Bruce Reed convened the White House AI Council, and agencies reported on their 90-day actions tasked by the Executive Order. The Executive Order directed a sweeping range of actions within 90 days to address some of AI’s biggest threats to safety and security. To mitigate these and other risks, agencies have:

In conversations with a slew of business leaders about the economic implications of generative AI, a recurring theme cropped up: that AI-driven productivity gains are the world's best hope to limit the pain of a demographic squeeze. As computers get better at doing jobs humans have traditionally done, the risk of mass displacement of workers is created. But the flip side is an emerging shortage of working-age humans in most advanced economies and a murky future for globalization, which effectively expands the global pool of workers. The big macroeconomic question for the coming decade is wh

The Government Accountability Office (GAO) is exploring internal use of artificial intelligence (AI) to make its work for Congress and taxpayers more efficient, in-depth, and effective. By developing these tools, GAO is also gaining insight into the benefits and risks of AI, which will help GAO evaluate other agencies' use and better provide technical assistance to Congress. As of January 2024, GAO is exploring the following eight AI use cases:

Since Apple introduced the App Store in 2008, it has tightly controlled the apps and services allowed on iPhones and iPads, giving the company an iron grip on one of the digital economy’s most valuable storefronts. Now Apple is weakening its hold on the store, in one of the most consequential signs to date of how new European regulations are changing consumer technology.

The Federal Trade Commission announced that it issued orders to five companies requiring them to provide information regarding recent investments and partnerships involving generative AI companies and major cloud service providers. The agency’s 6(b) inquiry will scrutinize corporate partnerships and investments with AI providers to build a better internal understanding of these relationships and their impact on the competitive landscape.

The US National Science Foundation and collaborating agencies launched the National Artificial Intelligence Research Resource (NAIRR) pilot, a first step towards realizing the vision for a shared research infrastructure that will strengthen and democratize access to critical resources necessary to power responsible AI discovery and innovation. Partnering with 10 other federal agencies as well as 25 private sector, nonprofit and philanthropic organizations, the NAIRR pilot will provide access to advanced computing, datasets, models, software, training and user support to U.S.-based researche

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