In the age of AI-driven content, deepfakes are emerging as one of the most pressing cybersecurity challenges for enterprises worldwide. India, a rapidly digitising nation, is not immune to this threat.
The ability of AI to create hyper-realistic images, audio, and videos that can mislead, manipulate, and potentially cause harm has sparked serious concerns among businesses and government institutions.
This blog explores essential tool and strategies for deepfake detection tailored for enterprises in India, backed by facts, figures, and real-life examples.
“What you don’t know is far more relevant than what you do know. What you know can’t really hurt you.” wrote Naseem Taleb, the author of Black Swan.
Ever since ChatGPT captured the imagination of the masses, there are apprehensions that AI is coming for your jobs. The Big Tech giants like Google that were looking infallible are suddenly scrambling to outdo this chatting wonder with their version of AI. The coders are ruminating whether their days as commanders of the tech establishment are numbered. The politicians are expressing misgivings whether the output of AI language subscribes to the same woke ideologies of their paymasters. The defense experts are pondering the possibility of AI-powered robots going rogue and turning on the arms establishment. They argue that future wars may not be boots on the ground or drones in the air but amphibious robots pitted against each other who are effective on ground, air and water.
Amid all the hype and hoopla, the simple things in life are probably missed. What you know can’t really hurt you. If the Big Tech knows the possibility of biases, it acts as a countervailing force anyway. If the conservative political establishment finds a threat to their ideology, they will react to ensure a fair playing ground. The trouble then lies elsewhere that nobody is talking about – self driven cars.
There are three phases in the self-driven or AI-driven vehicles segment that can run its course in the next 5 years.
Unlike robotic army dogs and AI-driven infantry divisions undergoing advanced stage of testing, self-driven cars are already a REALITY NOW. Major automobile companies are already racing against time and have their cars on the road. These road-hours are fast refining the AI models to deal with unexpected occurrences on the street. China has already opened all roads on the island connecting Macau to self driving cars. Back home, several cars of Mahindra brand are already being tested on the road. In contrast, robotic armies or robotic soldiers aren’t in the battlefield yet. Battlefields are tougher and unpredictable terrains that can take numerous wars for AI to learn. Meanwhile, Mercedes is already selling level 3 autonomous cars that don’t require even a manual supervision meaning – no human driver is required to monitor the vehicle.
As per the World Health Organization, 90% of accidents occur due to human error. No wonder that studies confirm self-driven cars as safer than human drivers. In such a scenario, the first revolutionary AI will not be a customer care executive, a drone, waiter or soldier – it will be the humble chauffeur who drives you around.
In general, there are only two prohibitive factors that deter mass adoption of such a useful technology – cost and portability. Just like any other technology, the autonomous vehicle segment will benefit from economies of scale. While AI embedded in cars gets refined on it’s own every hour, the auto sector giants will consciously ensure huge production lines to market these cars at scale in an affordable price. At the moment, it doesn’t appear that autonomous vehicles would be as affordable as human-driven cars in the next 5 years. Portability is a bigger opportunity that auto giants may bank upon.
Suppose you have a regular car of Toyoto make, you already have incurred a sunk cost and probably have a remaining useful life of 7 years. In such a case, Toyoto will likely succeed in selling you the autonomous technology rather than replacing your car again. What if Toyoto offers to install AI in your existing vehicle by reworking your steering wheel, gear box, accelerator, and brakes? With a minor modification of few lakhs, you may be able to convert it into autonomous. It makes economic sense for the car owners to do it because they can save costs on driver. In such a case, the human driver loses his job.
Transportation companies that account for their costs by factoring in 8 hours of sleeping time for human drivers may choose to forego human drivers altogether if the cost is appealing and the device is portable. Instead of a human driver needing an occasional tea break and a night’s sleep, the transportation giants will save valuable time and money by installing autonomous technology on their fleet of trucks.
As per an estimate, about 9 million truck drivers are on Indian roads. The number of drivers may likely be five times that figure if we consider drivers like private chauffer services, cab drivers, rickshaws, and public transport drivers. A huge proportion of people in the lowest rung of the pyramid is employed in driving vehicles. Unlike coders who can switch to emerging technologies, the drivers earning their livelihood can’t switch to linked services. At best, they can be cleaners who earlier used to accompany the driver for long-haul transport. Suppose the autonomous technology gets reliable enough for Indian roads. In that case, transportation companies will likely do away with cleaners too if they can get real-time information without manual intervention but through GPS. In the case of private drivers, the owners of cars may well do so to save some money and afford more privacy. Who needs a driver sitting right ahead and intruding into the personal space when you are going for a family picnic or a honeymoon?
In a populous nation like India, an autonomous-driven car revolution would be like a mobile phone revolution with a quantitative difference. The postman in the neighboring post office didn’t lose his job after the mobile phone revolution. There was job security in the postal department controlled by the government. Besides, they were small in numbers and the advent of cell phones merely unburdened them with reduced mail delivery duties. The drivers in India are larger in numbers and at the mercy of private employers. If these individuals numbering between 2-5 crore citizens become obsolete within the next 5 years, as much as 1 out of every 7 Indian families may go below poverty line. The real trouble for now isn’t going to be the utopian world of AI robots or AI coders. India is staring at a demographic nightmare of drivers before robotic soldiers or automatic waiters join in the AI party.
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