What We Learned From Apple’s New Privacy Labels

Photo: REUTERS
Photo: REUTERS
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What We Learned From Apple’s New Privacy Labels

Photo: REUTERS
Photo: REUTERS

We all know that apps collect our data. Yet one of the few ways to find out what an app does with our information involves reading a privacy policy.

Let’s be real: Nobody does that.

So late last year, Apple introduced a new requirement for all software developers that publish apps through its App Store. Apps must now include so-called privacy labels, which list the types of data being collected in an easily scannable format. The labels resemble a nutrition marker on food packaging.

These labels, which began appearing in the App Store in December, are the latest attempt by tech designers to make data security and digital privacy, which are linked, easier for all of us to understand. You might be familiar with earlier iterations, like the padlock symbol in a web browser. A locked padlock tells us that a website is more secure, while an unlocked one suggests that a website can be more susceptible to attack.

The question is whether Apple’s new labels will influence the choices people make. “After they read it or look at it, does it change how they use the app or stop them from downloading the app?” asked Stephanie Nguyen, a research scientist who has studied user experience design and data privacy.

To put the labels to the test, I pored over dozens of apps. Then I focused on the privacy labels for the messaging apps WhatsApp and Signal, the streaming music apps Spotify and Apple Music and, for fun, MyQ, the app I use to open my garage door remotely.

I learned plenty. The privacy labels showed that apps that appear identical in function can vastly differ in how they handle our information. I also found that lots of data gathering is happening when you least expect it, including inside products you pay for.

But while the labels were often illuminating, they sometimes created more confusion.

How to Read Apple’s Privacy Labels
To find the new labels, iPhone and iPad users with the latest operating system (iOS and iPadOS 14.3) can open the App Store and search for an app. Inside the app’s description, look for “App Privacy.” That’s where a box appears with the label.

Apple has divided the privacy label into three categories so we can get a full picture of the kinds of information that an app collects. They are:

Data used to track you. This information is used to follow your activities across apps and websites. For example, your email address can help identify that you were also the person using another app where you entered the same email address.

Data linked to you: This information is tied to your identity, such as your purchase history or contact information. Using this data, a music app can see that your account bought a certain song.

Data not linked to you: This information is not directly tied to you or your account. A mapping app might collect data from motion sensors to provide turn-by-turn directions for everyone, for instance. It doesn’t save that information in your account.

Now let’s see what these labels revealed about specific apps.

WhatsApp vs. Signal
On the surface, WhatsApp, which is owned by Facebook, appears to be nearly identical to Signal. Both offer encrypted messaging, which scramble your messages so only the recipient can decipher them. Both also rely on your phone number to create an account and receive messages.

But their privacy labels immediately reveal how different they are under the hood.

The labels immediately made it clear that WhatsApp taps far more of our data than Signal does. When I asked the companies about this, Signal said it made an effort to take less information.

For group chats, the WhatsApp privacy label showed that the app has access to user content, which includes group chat names and group profile photos. Signal, which does not do this, said it had designed a complex group chat system that encrypts the contents of a conversation, including the people participating in the chat and their avatars.

For people’s contacts, the WhatsApp privacy label showed that the app can get access to our contacts list; Signal does not. With WhatsApp, you have the option to upload your address book to the company’s servers so it can help you find your friends and family who are also using the app. But on Signal, the contacts list is stored on your phone, and the company cannot tap it.

“In some instances it’s more difficult to not collect data,” Moxie Marlinspike, the founder of Signal, said. “We have gone to greater lengths to design and build technology that doesn’t have access.”

A WhatsApp spokeswoman referred to the company’s website explaining its privacy label. The website said WhatsApp could gain access to user content to prevent abuse and to bar people who might have violated laws.

When You Least Expect It
I then took a close look at the privacy label for a seemingly innocuous app: MyQ from Chamberlain, a company that sells garage door openers. The MyQ app works with a $40 hub that connects with a Wi-Fi router so you can open and close your garage door remotely.

Why would a product I paid for to open my garage door track my name, email address, device identifier and usage data?

The answer: for advertising.

Elizabeth Lindemulder, who oversees connected devices for the Chamberlain Group, said the company collected data to target people with ads across the web. Chamberlain also has partnerships with other companies, such as Amazon, and data is shared with partners when people opt to use their services.

In this case, the label successfully caused me to stop and think: Yuck. Maybe I’ll switch back to my old garage remote, which has no internet connection.

Spotify vs. Apple Music
Finally, I compared the privacy labels for two streaming music apps: Spotify and Apple Music. This experiment unfortunately took me down a rabbit hole of confusion.

These look different from the other labels featured in this article because they are just previews — Spotify’s label was so long that we could not display the entirety of it. And when I dug into the labels, both contained such confusing or misleading terminology that I could not immediately connect the dots on what our data was used for.

One piece of jargon in Spotify’s label was that it collected people’s “coarse location” for advertising. What does that mean?

Spotify said this applied to people with free accounts who received ads. The app pulls device information to get approximate locations so it can play ads relevant to where those users are. But most people are unlikely to comprehend this from reading the label.

Apple Music’s privacy label suggested that it linked data to you for advertising purposes — even though the app doesn’t show or play ads. Only on Apple’s website did I find out that Apple Music looks at what you listen to so it can provide information about upcoming releases and new artists who are relevant to your interests.

The privacy labels are especially confusing when it comes to Apple’s own apps. That’s because while some Apple apps appeared in the App Store with privacy labels, others did not.

Apple said only some of its apps — like FaceTime, Mail, and Apple Maps — could be deleted and downloaded again in the App Store, so those can be found there with privacy labels. But its Phone and Messages apps cannot be deleted from devices and so do not have privacy labels in the App Store. Instead, the privacy labels for those apps are in hard-to-find support documents.

The result is that the data practices of Apple’s apps are less upfront. If Apple wants to lead the privacy conversation, it can set a better example by making language clearer — and its labeling program less self-serving. When I asked why all apps shouldn’t be held to the same standards, Apple did not address the issue further.

Ms. Nguyen, the researcher, said a lot had to happen for the privacy labels to succeed. Other than behavioral change, she said, companies have to be honest about describing their data collection. Most important, people have to be able to understand the information.

“I can’t imagine my mother would ever stop to look at a label and say, ‘Let me look at the data linked to me and the data not linked to me,’” she said. “What does that even mean?”

(The New York Times)



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.