“Is Public Interest Technology Just a Buzzword?”

How can inclusive design be effectively integrated into a business strategy, rather than remaining a side project? What role must policy, public procurement, regulation, and community engagement play so that inclusion is viable, not optional? How do technologists, designers, business leaders, and policymakers align so that public interest and profit aren’t at odds but intertwined?

I was introduced to terms like Internet governance four years ago. Since then, one new word after another has surfaced in the tech-policy space. When I came across the phrase public interest technology, I found myself pausing: How exactly does this connect to what we often see around us? And in a world where almost everything is built around making a profit, can this idea really find a place?

Public interest technology refers to the study and application of technology expertise to advance the public interest , to generate benefits for society and promote the public good. It doesn’t mean simply building the “next app” for the mass market, but asking: Who is this technology for? What impact does it have beyond revenue? How are communities being engaged so that the technology doesn’t inadvertently exclude or harm?

When I say “inclusion and equity” in this context, I do not mean only gender or rural-versus-urban divides (though both matter). I’m talking about a broader idea: technology designed and governed so that anyone, regardless of income, language, disability, digital-skill level, location, or other circumstance; has the capacity and opportunity to engage, benefit from, and not be left behind. For example: accessibility for persons with disabilities, multilingual interfaces, low-bandwidth versions of apps, and inclusive design that anticipates users with low digital literacy. These dimensions matter because the barriers to participation in tech are many and intersecting.

From one perspective, the appeal is compelling. Imagine designing a digital service with accessibility built in, community-driven features, fairness in algorithms, and transparency in how data is used. When implemented effectively, technology can expand access to essential services (such as education and healthcare), empower historically marginalized groups, and help reduce inequality. Technology becomes not just a tool for commerce, but a tool for inclusion and justice.

Yet from another view, the feasibility question looms large. Many tech firms, investors, and start-ups operate under business models that expect scale, monetisation, rapid growth, and market competition. Designing for inclusion or public interest often involves additional costs, a slower rollout, more engagement with user communities, localization, and more careful governance. The incentives may not align: underserved populations may be more complex to serve, with less immediate profit potential; inclusive design may not be rewarded in the same way as a feature that boosts user numbers or ad revenue. There are also measurement problem like how do you capture “fairness”, “access”, “dignity” as business metrics? Without strong alignment of incentives, inclusive features risk being sidelined.

So where do these two paths meet? Where does the promise of public interest technology sit in a profit-driven world? One possibility is when value is redefined: if inclusive design becomes a source of new markets (for example, by reaching underserved users), if social license, trust, and reduced risk become integral to the business strategy. Another is when business models become hybrid, combining private sector, public funding, and philanthropic support. Additionally, when regulations, procurement policies, or public-sector contracts demand or reward inclusive features, they thereby shift incentives. Or when the ecosystem builds the infrastructure, norms, and tools, inclusive design becomes less costly, easier, and standardized.

A contemporary office desk setup with laptops, gadgets, and accessories, creating a tech-savvy workplace.

When I think of my context (India and the Global South), the stakes become quite concrete. The digital divide is real. Multilingual diversity, rural-urban gaps, access issues, these are not abstract. Suppose technology is designed with inclusion in mind. In that case, huge populations can be brought into digital services, and new users can be accessed. However, the pressures of cost, scalability, and profit motive remain simultaneously. The question becomes: How can inclusive design be effectively integrated into a business strategy, rather than remaining a side project? What role must policy, public procurement, regulation, and community engagement play so that inclusion is viable, not optional? How do technologists, designers, business leaders, and policymakers align so that public interest and profit aren’t at odds but intertwined?

In what ways can we expect technology companies to embed public interest values when the ecosystem rewards speed, scale, and monetisation? Conversely, what does a truly public-interest-oriented technology initiative look like when it must survive and sustain itself in a market economy? Perhaps the intersection lies not in choosing one side over the other, but in asking how the structures around technology, business models, funding mechanisms, regulation, community participation, need to shift so that public interest becomes part of the equation rather than an afterthought.

I’m not claiming I have the answer. But I believe this is one of the questions we must keep alive: Can technology designed for profit also truly serve inclusion and equity — and if so, under what conditions?

The VPN Dilemma: Balancing Privacy, Security, and Digital Innovation

Hello, I’m new to the community. I’ve been facing issues connecting to 1.1.1.1 with WARP since yesterday. It was working fine before, but the problem started after my ISP performed some maintenance. I suspect the issue might be related to the ISP. Is there any possible solution for this?When I searched Reddit for answers about why WARP (aka 1.1.1.1) is not working, I found many similar comments, like:
“I believe that ISP has to do something with that because I am getting this issue after ISP maintenance.”

Curiosity led me to search for more articles on Reddit and other platforms, but unfortunately, I found very few, and they contained too little information.

Drawing from my five years of experience working and writing on technological aspects, I delved into understanding the dynamics of blocking services like 1.1.1.1. The reasons often seem to be tied to political and geographical factors, with the most common justification being “national security” and concerns over confidential data.

“I have been using 1.1.1.1 WARP from India, but 1.1.1.1 WARP mode is not working on the Jio network, while the normal private DNS is functioning. Reset network settings: Done. Reboot device: Done. Always-on VPN: Done. Clear cache and storage: Done. Uninstall and reinstall: Done. Reset private keys: Done. Still, WARP mode is not working. What should I do? And what is the reason behind this?”(solution quoted on the community page)
Many more solutions like this have been shared in the community pages, but sadly, nothing works. I am obliged to install another VPN, as I am left with no other option due to the urgency of the work.

Searching for the exact reason behind this, I came across some information that I’m not entirely sure is legitimate but seems relatable—or at least understandable.

One random user explained:
“Basically, the rule in India is that you can operate a VPN as long as you maintain data related to the user, including their name, ID, IP accessing from, and IP accessing to. I think the 1.1.1.1 client actually operated anonymously (because if I remember, you didn’t actually need to log in to use it). iCloud+ Private browsing maintains that information (account-related, etc.) so it should be safe. Similarly, running your own Tailscale cluster and enterprise VPNs are not impacted—for example, Cloudflare for Teams is allowed, and the Cloudflare One Agent app can be downloaded and is still available.”

Another user added:
“Cloudflare stores user data on the Zero Tier corporate plan, which is tied to accounts. The free 1.1.1.1 app did not require an account, hence it was removed. I cannot answer as to why Proton VPN continues to work or has not been removed. I only gave an opinion as to why the free Cloudflare product may have been removed. For what it’s worth, you can set up your own VPN and run it, and as long as you maintain a user login and account history, you can operate a VPN.”

The list of removed VPNs includes other services like Hide.me and PrivadoVPN. Apple, citing a demand from the Indian Cyber Crime Coordination Centre—a division of the Ministry of Home Affairs—stated that these app developers had created software that contravenes Indian law.

On the other hand, several VPN providers have robustly opposed the Indian government’s mandate. When the framework was introduced, prominent developers like NordVPN, ExpressVPN, Surfshark, and ProtonVPN publicly criticized the requirements, with some even indicating plans to remove their server infrastructure from India. For example, Surfshark’s services are no longer purchasable via UPI, a payment method that was available before the rules came into effect. Despite these challenges, NordVPN, ExpressVPN, and Surfshark continue to operate in India, although they have scaled back active promotion of their apps in the country.

The Indian government’s actions against VPN service providers hold even greater significance when considering the country’s position as one of the world’s largest VPN markets, with substantial growth anticipated in the coming years.

In 2023, India’s VPN market generated an impressive $4.166 billion in revenue and is projected to reach $7.681 billion by 2030, growing at a compound annual growth rate (CAGR) of 9.1% from 2024 to 2030. With an estimated 270 million VPN users in 2021, the market remains dominated by a limited number of providers, including Surfshark, NordVPN, ExpressVPN, PureVPN, IPVanish, and others. Despite regulatory challenges, these players continue to cater to a substantial user base in India.

The restriction on VPN services is not unique to a major country like India; several other nations are also engaging in this “banning game” under the guise of national security and data regulations. Countries such as China, Russia, Germany, and Italy have also implemented measures to control or restrict VPN usage, citing similar justifications of safeguarding national interests and ensuring compliance with local laws.

I referenced the community pages solution and inquiries because I haven’t found any direct comment or official report from the Ministry of Home Affairs (MHA), Government of India, regarding the banning of these regulations. This raises the question: while policymakers, law experts, diplomats, and technocrats may have discussed these bans, similar to the DPDP, why are such policies put out for public comment even after being enforced?

Close-up view of a mouse cursor over digital security text on display.

Why is everything being imposed in the name of national security? The challenge is that, while we advocate for encryption and data privacy, we also ask for data storage, suggesting that privacy might, in fact, be a myth. Our devices, always with us, listen even when not in use, reinforcing this paradox.

It’s a social dilemma of the Internet age. On one hand, we promote privacy and encryption, while on the other, innovators are developing AI systems that collect all our information. I’m not arguing that imposing regulations on the majority is wrong, but is there a way to balance technology, innovation, and regulation? This is simply a thought from a technical writer’s perspective.

Introduction to Artificial Intelligence

AI is revolutionizing our world by mimicking human behavior and thinking, raising critical questions about its potential to replace jobs and transform society.

Hey, Siri! Please call Martin. After that, a bell will ring to get Martin’s attention, or you can ask Alexa to play “Grow as We Go” from Spotify. The following sound will be the song playing, or you can inquire with ChatGPT about “codes for framing an email in JavaScript.” Hola! The codes will be displayed on the screen.

In our lives, not just in technical aspects, but in various ways, we are influenced by the new world technology known as ‘Artificial Intelligence.’ So, what exactly is artificial intelligence? Is it a machine that mimics the human brain’s functioning, or is it a machine that imitates human behavior? Could it be that human intelligence has been integrated into a machine to enable it to function like a human? Furthermore, how does this artificial intelligence impact human work? Is it replacing humans, leading to the eventual elimination of human job opportunities? Or is it simply a revolution similar to others that have occurred in the past?

AI has been defined in various ways by businessmen, technical experts, computer intelligence enthusiasts, and scientists. Keynes (1930) referred to it as “technological unemployment,” where the use of labor-saving techniques surpasses the rate of finding new uses for labor, leading to unemployment. Leontief (1983) expressed concerns about machines replacing humans, akin to how internal combustion engines rendered horses obsolete due to the dramatic improvements in computer chip processing power. Elon Musk holds a strong belief that “AI is a fundamental risk to the existence of human civilization.” On the other hand, Luger and Stubblefield (1993) define AI as “the discipline of computer science that is concerned with the automation of intelligent behavior.” The different perspectives on AI highlight its potential impact on the workforce, human civilization, and the development of intelligent systems in computer science.

AI is simply artificial means man-made and intelligence is thinking power, thus, artificial intelligence is man-made thinking power. AI can be described simply as imbuing machines with human-like abilities such as reasoning, learning, planning, and creativity to perform various tasks. These capabilities can manifest in both hardware (embedded AI) and software (virtual assistants). While AI can think and act like a human brain, it still requires human intelligence to be integrated into the machine for it to function as desired. Currently, human intervention remains necessary to support AI’s functioning. Although AI has the potential to operate independently in the future, we cannot claim that it has completely replaced humans at this moment. Perhaps, in time, we may witness a shift where AI becomes self-sufficient, but that is not the case for now. Indeed, AI is pervasive worldwide, and its presence has become a part of our daily lives, whether directly or indirectly. The market showcases cutting-edge AI-related technologies such as Virtual Assistants like Apple’s Siri, Amazon’s Alexa, Cortana, and many others.

AI offers numerous benefits, including automation, which streamlines processes and reduces human error. It eliminates repetitive tasks, ensuring increased efficiency. With AI’s infinite availability, tasks can be performed consistently without downtime. AI’s speed and accuracy are remarkable, enabling swift and precise operations. Additionally, AI accelerates research and development, driving innovation across various fields. AI finds applications in diverse areas, such as voice recognition, image recognition, predictive modeling, translation, data analytics, and cybersecurity. These applications demonstrate AI’s versatility and its potential to enhance various aspects of our lives.

In broad categories, Artificial Intelligence can be classified into two types: Hardware-based AI, which involves robots, embedded AI, drones, etc., and Software-based AI, which includes virtual assistants, speech and facial recognition technologies.

On the basis of functionalities, AI can be further divided into two main types: Type 1 includes Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Type 2 comprises Reactive Machines, Limited Memory, Theory of Mind, and Self Awareness.

Type – 1:

Artificial Narrow Intelligence: Narrow functioning, also known as Weak AI, involves AI systems that excel in specific areas or tasks, such as Machine Learning. Apple’s Siri is an example of Weak AI, as it operates effectively within a particular domain or zone.

Artificial General Intelligence: This advanced form of AI surpasses ANI (Artificial Narrow Intelligence) by incorporating intelligence and Machine Learning together. It is referred to as Strong AI due to its cognitive capabilities, similar to the human brain.

Artificial Super Intelligence: This AI goes beyond the capabilities of the human brain, making it a strong and currently highly speculative concept in the realm of AI. The practical implementation of such advanced AI in real-world scenarios would undoubtedly present formidable challenges.

Type – 2:

Reactive Machines: Reactive machines operate based on pre-programmed theories and do not store or learn any data. Consequently, each query is treated as a new one every time it occurs. IBM’s Deep Blue system serves as an example of reactive machines.

Limited Memory: This type of AI possesses a memory system to learn and retain information, but its memory is limited to a specific period. It can memorize things, but only for a constrained duration or limited time period. Self-driving cars are a notable example of this kind of AI.

Theory of Mind: This is still a concept that lies in the future. It involves comprehending human emotions and the underlying reasons for corresponding reactions. This form of intelligence pertains to understanding human emotions and predicting behavior accordingly.

Self-Awareness: Similar to the theory of mind, this AI also remains non-existent at present. It represents an advanced iteration of the theory of mind, where we envision a machine possessing human-like cognitive abilities, emotions, reactions, and functions. Essentially, it would be a self-aware machine, functioning at a superhuman level, akin to a sentient being.