Google Combining Its Android Software and Pixel Hardware Divisions to More Broadly Integrate AI 

Google logos are displayed when searched for Google in New York, Sept. 11, 2023. (AP)
Google logos are displayed when searched for Google in New York, Sept. 11, 2023. (AP)
TT
20

Google Combining Its Android Software and Pixel Hardware Divisions to More Broadly Integrate AI 

Google logos are displayed when searched for Google in New York, Sept. 11, 2023. (AP)
Google logos are displayed when searched for Google in New York, Sept. 11, 2023. (AP)

Google will combine the software division responsible for Android mobile software and the Chrome browser with the hardware division known for Pixel smartphones and Fitbit wearables, the company said Thursday. It's part of a broader plan to integrate artificial intelligence more widely throughout the company.

In a letter to employees, Google CEO Sundar Pichai said the changes will “turbocharge the Android and Chrome ecosystems” while helping to spur innovation.

The decision will place both operations under the oversight of Rick Osterloh, a Google executive who previously oversaw the company's hardware group. Not long ago, Google insulated Android development from the hardware division, saying it wanted to avoid giving its phone designers an unfair advantage over the other major smartphone makers who used Android — including Samsung and Motorola, as well as Chinese companies such as Oppo and Xiaomi.

Then a few years ago, Google started to position the Pixel as a flagship for demonstrating what AI could accomplish and leaned heavily into developing features that could demonstrate its potential. That meant more integration of AI hardware and software to power those features on mobile devices.

In an interview with The Verge, a tech publication, Osterloh noted that AI is the primary reason for bringing together Google's consumer hardware and software engineers. He argued that phone technology is already growing more dependent on AI, citing the development of the Pixel camera, which among other things uses the technology for features that enhance nighttime photos or automatically choose the best of several closely timed shots.

Combining the teams, Osterloh added, is a way for Google to move even faster on infusing AI into its features. Designing the Pixel camera several years ago, he said in the interview, required deep knowledge of not just the complex hardware and software systems involved, but also the then-early AI models used for image processing.

“That hardware-software-AI integration really showed how AI could totally transform a user experience,” Osterloh said. “That was important. And it’s even more true today.”

“What you’re now starting to see Google do is flex its core AI innovation engines,” said Chirag Dekate, an analyst with Gartner. “Google wants to dominate the AI, the commanding heights of the emerging AI economy, both on the consumer side as well as on the enterprise side, essentially by infusing AI everywhere and by connecting it.”

Meanwhile, the chief of Google's software division, Hiroshi Lockheimer, is left without a title and, according to Pichai's letter, will be starting some other unnamed projects. Lockheimer did join Osterloh for the Verge interview, though, and the two men insisted the changes weren't the result of a power struggle.

Google is also reorganizing its AI research and responsibility groups, although those changes mostly won’t directly affect consumer products — at least not for now.



Justice at Stake as Generative AI Enters the Courtroom

Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
TT
20

Justice at Stake as Generative AI Enters the Courtroom

Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP
Generative artificial intelligence has been used in the US legal system by judges performing research, lawyers filing appeals and parties involved in cases who wanted help expressing themselves in court. Jefferson Siegel / POOL/AFP

Generative artificial intelligence (GenAI) is making its way into courts despite early stumbles, raising questions about how it will influence the legal system and justice itself.

Judges use the technology for research, lawyers utilize it for appeals and parties involved in cases have relied on GenAI to help express themselves in court.

"It's probably used more than people expect," said Daniel Linna, a professor at the Northwestern Pritzker School of Law, about GenAI in the US legal system.

"Judges don't necessarily raise their hand and talk about this to a whole room of judges, but I have people who come to me afterward and say they are experimenting with it”.

In one prominent instance, GenAI enabled murder victim Chris Pelkey to address an Arizona courtroom -- in the form of a video avatar -- at the sentencing of the man convicted of shooting him dead in 2021 during a clash between motorists.

"I believe in forgiveness," said a digital proxy of Pelkey created by his sister, Stacey Wales.

The judge voiced appreciation for the avatar, saying it seemed authentic.

"I knew it would be powerful," Wales told , "that that it would humanize Chris in the eyes of the judge."

The AI testimony, a first of its kind, ended the sentencing hearing at which Wales and other members of the slain man's family spoke about the impact of the loss.

Since the hearing, examples of GenAI being used in US legal cases have multiplied.

"It is a helpful tool and it is time-saving, as long as the accuracy is confirmed," said attorney Stephen Schwartz, who practices in the northeastern state of Maine.

"Overall, it's a positive development in jurisprudence."

Schwartz described using ChatGPT as well as GenAI legal assistants, such as LexisNexis Protege and CoCounsel from Thomson Reuters, for researching case law and other tasks.

"You can't completely rely on it," Schwartz cautioned, recommending that cases proffered by GenAI be read to ensure accuracy.

"We are all aware of a horror story where AI comes up with mixed-up case things."

The technology has been the culprit behind false legal citations, far-fetched case precedents, and flat-out fabrications.

In early May, a federal judge in Los Angeles imposed $31,100 in fines and damages on two law firms for an error-riddled petition drafted with the help of GenAI, blasting it as a "collective debacle."

The tech is also being relied on by some who skip lawyers and represent themselves in court, often causing legal errors.

And as GenAI makes it easier and cheaper to draft legal complaints, courts already overburdened by caseloads could see them climb higher, said Shay Cleary of the National Center for State Courts.

"Courts need to be prepared to handle that," Cleary said.

Transformation

Law professor Linna sees the potential for GenAI to be part of the solution though, giving more people the ability to seek justice in courts made more efficient.

"We have a huge number of people who don't have access to legal services," Linna said.

"These tools can be transformative; of course we need to be thoughtful about how we integrate them."

Federal judges in the US capitol have written decisions noting their use of ChatGPT in laying out their opinions.

"Judges need to be technologically up-to-date and trained in AI," Linna said.

GenAI assistants already have the potential to influence the outcome of cases the same way a human law clerk might, reasoned the professor.

Facts or case law pointed out by GenAI might sway a judge's decision, and could be different than what a legal clerk would have come up with.

But if GenAI lives up to its potential and excels at finding the best information for judges to consider, that could make for well-grounded rulings less likely to be overturned on appeal, according to Linna.