If you have been on blue planet for awhile, one thing you must have heard about is Robots will kill humans. This is not much hyped notion being shared on social media alone. Common man also believes with unreasonable frenzy that some day some robot war will take place and we all will die.

Scientists all over the world are working on AI and every single day something new is coming up, microsoft is working on new language for a Computer which doesn’t even exist. Situation is changing rapidly and with the advancement in quantum computing this will change faster than we all are used to.

Before we go and understand the implications about AI, its reasonable to spend some time to look at what exactly this AI is ?

1 : a branch of computer science dealing with the simulation of intelligent behavior in computers. 2 : the capability of a machine to imitate intelligent human behavior.

Looking further ahead, there are no fundamental limits to what can be achieved: there is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it might play out differently from in the movie: as Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, triggering what Vernor Vinge called a “singularity” and Johnny Depp’s movie character calls “transcendence”.

Relation between Growth Of AI and Moore’s Law :

What is ‘Moore’s Law’

Moore’s law refers to an observation made by Intel co-founder Gordon Moore in 1965. He noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention.

Moore’s law predicts that this trend will continue into the foreseeable future. Although the pace has slowed, the number of transistors per square inch has since doubled approximately every 18 months. This is used as the current definition of Moore’s law.

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The Future

Thanks to nanotechnology, some transistors are smaller than a virus. These microscopic structures contain carbon and silicon molecules aligned in perfect fashion that help move electricity along the circuit faster. Eventually, the temperature of the transistors make it impossible to create smaller circuits, because cooling the transistors takes more energy than what passes through the transistors. Experts show that computers should reach physical limits of Moore’s law sometime in the 2020s. When that happens, computer scientists can examine entirely new ways of creating computers.

Applications and software can improve the speed and efficiency of computers in the future, rather than physical processes. Cloud computing, wireless communication, the Internet of Things and quantum physics may all play a role in innovating computer technology. Many designers, engineers and computer scientists agreed in early 2016 that Moore’s law may run its course within 10 years. Progress achieving the doubling of the number of circuits has slowed, and integrated circuits cannot get much smaller as transistors approach the size of an atom.

What Really Happens in this AI Process ?

Okay , so let me make this easier for you to understand . There are two things worth mentioning here :

1- Big Data :Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

Big data spans three dimensions: Volume, Velocity and Variety.

Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.

• Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
• Convert 350 billion annual meter readings to better predict power consumption

Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.

• Scrutinize 5 million trade events created each day to identify potential fraud
• Analyze 500 million daily call detail records in real-time to predict customer churn faster

Variety: Big data is any type of data – structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.

• Monitor 100’s of live video feeds from surveillance cameras to target points of interest
• Exploit the 80% data growth in images, video and documents to improve customer satisfaction

2- Artificial Intelligence : Now imagine this, such a huge amount of data is being used by computers all over the world to process information and draw conclusions and use it more productively. So far so good , look at some of the examples where AI has contributed positively to the human race

Virtual Personal Assistants:

Siri, Google Now, and Cortana are all intelligent digital personal assistants on various platforms (iOS, Android, and Windows Mobile). In short, they help find useful information when you ask for it using your voice; you can say “Where’s the nearest Chinese restaurant?”, “What’s on my schedule today?”,

Video Games

One of the instances of AI that most people are probably familiar with, video game AI has been used for a very long time—since the very first video games, in fact. But the complexity and effectiveness of that AI has increased exponentially over the past several decades, resulting in video game characters that learn your behaviors, respond to stimuli, and react in unpredictable ways.

Smart Cars

You probably haven’t seen someone reading the newspaper while driving to work yet, but self-driving cars are moving closer and closer to reality; Google’s self-driving car project and Tesla’s “autopilot” feature are two examples that have been in the news lately. Earlier this year, the Washington Post reported on an algorithm developed by Google that could potentially let self-driving cars learn to drive in the same way that humans do: through experience.

Purchase Prediction

Large retailers like Target and Amazon stand to make a lot of money if they can anticipate your needs. Amazon’s anticipatory shipping project hopes to send you items before you need them, completely obviating the need for a last-minute trip to the online store. While that technology isn’t yet in place, brick-and-mortar retailers are using the same ideas with coupons; when you go to the store, you’re often given a number of coupons that have been selected by a predictive analytics algorithm

Fraud Detection

Have you ever gotten an email or a letter asking you if you made a specific purchase on your credit card? Many banks send these types of communications if they think there’s a chance that fraud may have been committed on your account, and want to make sure that you approve the purchase before sending money over to another company. Artificial intelligence is often the technology deployed to monitor for this type of fraud.

Online Customer Support

Many websites now offer customers the opportunity to chat with a customer support representative while they’re browsing—but not every site actually has a live person on the other end of the line. In many cases, you’re talking to a rudimentary AI. Many of these chat support bots amount to little more than automated responders, but some of them are actually able to extract knowledge from the website and present it to customers when they ask for it.

News Generation

Did you know that artificial intelligence programs can write news stories? According to Wired, the AP, Fox, and Yahoo! all use AI to write simple stories like financial summaries, sports recaps, and fantasy sports reports. AI isn’t writing in-depth investigative articles, but it has no problem with very simple articles that don’t require a lot of synthesis. Automated Insights, the company behind the Wordsmith software, says that e-commerce, financial services, real estate, and other “data-driven” industries are already benefitting from the app.

Security Surveillance

A single person monitoring a number of video cameras isn’t a very secure system; people get bored easily, and keeping track of multiple monitors can be difficult even in the best of circumstances. Which is why training computers to monitor those cameras makes a great deal of sense. With supervised training exercises, security algorithms can take input from security cameras and determine whether there may be a threat—if it “sees” a warning sign, it will alert human security officers.

Music and Movie Recommendation Services

While they’re rather simple when compared to other AI systems, apps like Spotify, Pandora, and Netflix accomplish a useful task: recommending music and movies based on the interests you’ve expressed and judgments you’ve made in the past. By monitoring the choices you make and inserting them into a learning algorithm, these apps make recommendations that you’re likely to be interested in.

Smart Home Devices

Many smart home devices now include the ability to learn your behavior patterns and help you save money by adjusting the settings on your thermostat or other appliances in an effort to increase convenience and save energy. For example, turning your oven on when you leave work instead of waiting to get home is a very convenient ability. A thermostat that knows when you’re home and adjusts the temperature accordingly can help you save money by not heating the house when you’re out.

Lighting is another place where you might see basic artificial intelligence; by setting defaults and preferences, the lights around your house (both inside and outside) might adjust based on where you are and what you’re doing; dimmer for watching TV, brighter for cooking, and somewhere in the middle for eating, for example. The uses of AI in smart homes are limited only by our imagination.

AI May Develop a TRAP

Alright , now what I think might be easier way for any Intelligence to control the whole human race would not be a WAR but SEDUCTION. Its unlikely for any intelligent thinking entity to go for war as it doesn’t fulfil the purpose. We as a human race have irrational thinking and AI is all but logical, now with the use of lots of data that AI is being fed with and all the relevant correlations being developed for ef depressed people love to shop , surf lot of internet at night, post a particular kind of pics. This all is happening even now and being registered by the Machine learning and AI.

Is it not reasonable to predict that doom of human race may not happen through war but acts of growing stupidity. One of the major implications of using AI in future would be everyone would be doing something that they LOVE. AI may devise ways to engage all of us in things which are luring kind of daydreaming .

Look at how young generation is glued to smartphones and how you feel helpless if your internet is slow !! Look at how BLUEWHALE game made teenagers helpless and commit suicide,perhaps the bigger question is why would AI do any of this ?

I think its like asking why humans literally kicked the hell out of environment. Perhaps the new world order in which all decisions will be made by AI would be too far logical and may not appeal to us lesser mortals. Its interesting how big companies and now even governments are using these new technologies to make decisions, its reasonable to assume that some point in future even policy decisions would be backed by recommendations from AI , at this point a less smart thinker may have powers to veto the decision but as we hand over some critical areas to be dealt by AI , we run the risk of losing our freedom.

Collecting data through various interfaces is just the beginning , eventually this will lead to a very complex set of data which will never be interpreted by our limited neurons and our comprehension ability this would match with the advancement in quantum computing which will easily replace human brains in decoding such big data items, and like you put your faith in your doctor , we would rely on some unfathomable algorithm who would decide our fate .

In the end..It would be interesting to see how things unfold, but I once again would like to stress, if at all AI would kill us, It would kill us SOFTLY.

-Abhishek V

Founder (Think Studio Ed-Tech)