यह लेखन हिन्दी में उपलब्ध नहीं है. इसका अफसोस है
Artificial Intelligence. Ever since computer scientists were intrigued by what they can achieve by simply mimicking a part of human problem-solving skill into a computer code, developers around the world started incorporating same data-science algorithms and part-AI into anything they can fit into. Currently, the civilians go through an AI in almost every digital interaction they make. Majorly on social media where an AI recommends posts based on the judgments it makes from previous interactions of a person. Then there are NLP bots such as Alexa, Google Assistant, Siri etc. These in team-work with the large AI that resides on big-data servers majorly decide what goes around on the tip of the internet. This has major implications on how information is spread. Every AI is trained. Not from us but from our data. The data that is mostly a squeezed form of thoughts we share on the net. This data is often personal, critical and polar. A content-neutral AI has no clue of right or wrong but as we start to use more of AI in our lives, it can have major impacts. Tech giants have set-up large AI-servers with 100s of millions of neural networks and let them develop a digital-understanding of a human-world, to maximize profit. This, as evident, has led to some major instances of flawed or in-human AI. Cambridge Analytica, the recent example how a whole nation can be psychologically targeted to favor a specific politician in an election is just one uncovered instance. Tay.ai, Microsoft’s chat-bot on twitter was shut down within 24 hours of its appearance. Concerned tech-figures talk very critically about AI. Although a general AI is still a thing of future but the current picture doesn’t seem so bright.
The old service-providing tech industry in India is slowly catching-up on AI too. Some AI startups like Niki.ai - AI-powered shopping assistant, Natural Language Processing (Give a cyber-task, let the AI do the job). Similar niche startups: active.ai (Banking). Uncanny Vision: Image-library and AI-surveillance. Turning blind recording cameras into viewers. Netradyne: IoT based Autonomous Driving( Currently aiming Fleet management and Driver assist) and many more in their initial phase are realizing how big of a data-market India can be.
Even the global tech giants know this and have made attempts to establish a monopoly in India’s data-market. Facebook’s internet.org didn’t succeed in India. Google is working on it. Heck, Musk is working on a global level. Now, in the same timeline, we observe de-regulation of currency and JIO’s free internet for everyone - a strategy for market monopoly. With it, they launched many Internet services gathering a large number of customers. We’re not just paying them with money, we pay them majorly with our data.
The Indian government is pushing ADHAR linking with almost every major digital services. And private companies are pushing it too. What’s in it for them other than the surface reasons they give us? Well, easy identification of individual data is what comes to my mind. If every data comes with a digital individual signature, it would be so easy to simply group it from different sources and form individual profiles on every user.
As we go on to integrate automated services (for e.g. recent introduction of NACH in the banking sector) and ultimately AI into our services, it puts us at risk. Unsupervised collection of data. Ghost profiling. Unsupervised AI working on that data and serving us with goods and services, manipulating markets and individuals. Too dark of a picture. Majority of civilians will go unaware of it and just play in the hands of the system controlled by few. Dystopia.
We must monitor data-usage, tech-development, AI and anything that can affect an individual. Regulate it for a democratic design.