The future of Artificial Intelligence depends on 9 companies

By Srikanth
20 Min Read
The future of Artificial Intelligence depends on 9 companies

As we all know that artificial intelligence can be a significant threat to humankind, and it can ruin humanity. There might be a time that society is at the verge of destruction and that probably not by killer robots. Instead, it will be going to be by the million paper cuts. artificial intelligence is not a being in Flesh; thus, all these work behind the shadows. Working from behind has a vast benefit is the growth of engineering. The complexity of artificial intelligence processing is always spreading into various sides of our lives. The resistance of artificial intelligence in our day to day lives creates a threat to people, defocus from the real objective.


While we discussed a lot of opposing facts about artificial intelligence, but we didn’t found any solution to encounter it.

There are a few wealthy groups. If we put together, it can provide huge power on the way to develop artificial intelligence. There is some system which can be developed and deployed with much powerful software to reach our objective. 

These big tech advanced firms are not practically pushing themself to the way of destruction. The issues run more profound at the systems which drive these firms to function since they do. And when we do not resolve the problems at the origin, the results could be catastrophic.

From The Big Six, a detailed design of the recent issues of the artificial intelligence business, a view of what could occur.

G-MAFIA vs BAT: The overlords of Artificial Intelligence

The Big Nine is a mention to eight huge tech firms having the lion’s share of what is occurring in artificial brains. Six of these are from the United States: Google, Google, Facebook, Microsoft, Apple, Amazon, along with IBM. The G-MAFIA and describes them as a shut super network of people with similar experiences and interests working in a single area that have influence in the futures.

The three remaining groups are Chinese technology giants Baidu, Alibaba, and Tencent, that are well-known as BAT.

The leaders of those nine firms effects by a deep sense of altruism and a desire to serve the larger good. These big tech giant companies understand the potential of artificial intelligence to boost health care and wellbeing. To fix our impending climate difficulties, and to raise tens of thousands of individuals out of poverty.

The ethnic issues of Artificial Intelligence Businesses

A relatively few like-minded people have united the potential of artificial intelligence within small, serviced classes.

As with insulated groups which work together, their mental biases and myopia tend to turn into new methods of belief and approved behaviours as time passes.

And the like-minded begins from the universities in which large tech firms recruit their employee.

At US universities, computer engineering applications are, for the most part, concentrated on challenging engineering abilities and programming, systems technology, mathematics. In regards to artificial intelligence, pupils focus on machine learning algorithms, natural language processing, monitor, and other specialized skills. There is very little space for anthropology, theory, and integrity. These themes are usually overlooked or contained as discretionary.

Ten decades back, when calculations were not overly dominant in our own lives, this wouldn’t be much of an issue. The way artificial intelligence is approaching until now will not be sufficient for the growth. Now AI needs to enter into the sectors like more advance processing units. AI also needs to develop its processing to more logical think, on how a human brain functions. Working of a human brain consist of the rational and emotional process and decision making.

Making a decision for AI vibrant will be difficult as artificial intelligence can be used in the Corporate sector. Thus, AI making a decision on Hiring will be difficult as it’s not only logical but emotional too. And in such situations, the algorithms signify the subconscious biases, preferences, and blind spots of the men and women that are making them.

The men and women who create artificial intelligence at large tech firms come from similar social histories, demographics, ethnicities, and religions. Thus, their products frequently drawback or exit specific groups of individuals. That is precisely why we often see AI rumours like:

  • An Amazon employing algorithm which discriminates against women.
  • IBM facial detection system which performs poorly on non-white feminine faces.
  • Google algorithm which mislabels pictures of black individuals.
  • Apple algorithm which rewards women in credit grading.

Luckily, this incident follows immediate apologies and repairs issued by the various businesses—regrettably, the majority of these results when a person stumbled upon them by opportunity.

That which we do not understand is that the numerous other hidden manners artificial intelligence calculations are discriminated against individuals without them realizing it. They’re paper cuts, resulting in little disadvantages which may go undetected to the person but may have enormous consequences at scale. When the men and women that are producing the AI approaches are blind to their own biases, they definitely won’t understand the best places to search for issues.

Why not universities mend their apps? Since technology is moving quicker than academia. A solitary, mandatory ethics class –specially constructed for tailored to pupils studying artificial intelligence. This ethics class will not do the trick when the substance is not present. Mainly if what is known to the people does not spread throughout different regions of the program.

And universities can not press pause to rethink and reevaluate their classes. Universities wish to reveal a solid record of used graduates, and employers need graduates with hard skills. The Big Six are spouses with all these universities, that rely upon their financing and assets.

But why not tech firms alter their standards and standards?

The profit-driven Artificial Intelligence Industry

During its course, artificial intelligence research has gone through a set of ups & downs. Intervals of excitement and hype (and a great deal of cash thrown at artificial intelligence study ) followed by not believing the tear-out from financing once the technology failed to deliver on their claims. The act of neural networks in the last several years has rejuvenated interest within the discipline of artificial intelligence. However, the study on neural networks is very costly and requires vast quantities of information and compute resources.

The mounting prices of profound learning study have significantly pushedartificial intelligenceI researchers and study labs to the arms of big tech firms. The bubbles of tech firms make it possible for scientists to keep their study. However, these businesses push the market forces and anticipate a return to their investment.

There’s massive pressure for your G-MAFIA to construct functional and business uses for artificial intelligence as swiftly as possible. From the electronic area, investors have grown used to fast wins and windfalls.

The direct outcome of the drive is that the early and hasty launch of “artificial intelligenceI-powered” goods to the current market. It difficult for programmers to get time enough to weigh in about the adverse effects.

However, the noticed consequence is that the commercialization of artificial intelligence research. Scientific research labs need to steer at least the aspect of tools to make profitable products. The tech companies can continue to keep their investors contented and secure another round of financing.

We have seen this occur using the UK-based DeepMind, developed by Google in 2014, and the San Francisco–established OpenAI, that will be getting its funds from Microsoft. DeepMind made an “employed” branch that’s focusing on commercial artificial intelligence solutions. OpenAI has vowed to permit its “pre-AGI” technology to its investors, which includes Microsoft to now.

Why are not tech businesses and their usage of AI-controlled?

The G-MAFIA wield substantial power and influence on government in part due to the market economy. The system also since we’ve got a powerful cultural aversion toward robust government control of industry.

However, the problem is growing dangerous as the G-MAFIA makes artificial intelligence technology still permeates every part of our lives.

Sometime within the next ten years, the remainder of the artificial intelligence ecosystem will clot about only a couple of G-MAFIA systems. 

Once your information, appliances, gadgets, automobiles, and providers are all entangled, you are going to be locked. The purchase more things such as cellular telephones, smart refrigerators, or smart earbuds. You might realize that your G-MAFIA has come to be a working system for daily life.

The AI-powered surveillance system

In China, in which the country is utilizing every instrument at its disposal–such as AI–to merge its power, the scenario is quite different but not harmful. The Chinese authorities well know the consequences and potential of complex AI, and it’s laid out a roadmap to attain AI domination by 2030.

In contrast to this US, in China, the government absorbs full management over artificial intelligence businesses. BAT are legally obliged to place all their data in the disposal of government and permit the nation to run mass control and surveillance taxpayers through their technologies.

Among those weakest cases of the authorities, initiatives would be that the notorious Sesame social credit program, which uses artificial intelligence algorithms. The plans of BAT to maintain a close eye on the behaviour of indigenous citizens. The machine design is to activate decent action, like abiding by the principles and maintaining a fantastic banking document. While penalizing bad behaviour like playing games late in the evening and jaywalking. It can also work as an instrument for observation on politics for the ruling party.

What is inside for BAT?

State-level Defense is permitted from the BAT, that is subsequently emboldened through China’s different industrial and institutional coverages.

That is the reason you find the flourishing of those three firms, which collectively have a lengthy discussion of China’s market.

A different warning that’s frequently disregarded: that the AI brain drain brought on by Chinese competitions. China is draining academics and investigators from AI’s hubs in Canada and the USA, offering them appealing repatriation bundles.

There is a lack of trained information scientists and machine-learning experts. Siphoning off individuals will soon develop a gift vacuum from the West. This is China’s cleverest long-term drama -since it found the West of the way it can compete in the long run.

What happens when we do not mend AI?

AI’s consumerism version in the USA is not inherently wrong. Neither China’s government-centralized version or AI itself is not necessarily detrimental to society.

The G-MAFIA are all profit-driven, publicly traded firms that have to respond to Wall Street,” no matter the altruistic goals of the leaders and workers. Back in China, the BAT is accountable to the Chinese authorities, which has decided what is ideal for the Chinese.

And what is ideal for Wall Street and the Chinese authorities isn’t always in the best interests of humankind. As we have discussed, we are already bleeding from several paper cuts. The problem will slowly grow worse when AI development and research isn’t going in the ideal direction.

.It is very difficult to think about possible emergencies and opportunities before they have already occurred, and that is why we tend to adhere to our present narratives. That is the reason why we mention killer robots instead of paper cuts.

From The Big Six, Internet lays out three possible roadmaps to the future of AI, two of which can be devastating.

From the “pragmatic situation,” AI stakeholders may admit issues but will make minor alterations. At the US, the authorities and G-MAFIA won’t arrive together to be certain AI rewards everybody.

The newspaper cuts to increase. Adversarial strikes, reward-hacking, new AI techniques, and predictive discrimination may continue to damage users around the world. Worried or maybe not, the firms producing AI systems will not do much since they are within the continuous pressure of getting goods to the marketplace.

Folks might eliminate ownership of the information, their solitude, their identities. The societal and financial divide will keep growing. Technological and economic strength will continue to combine in hardly any firms. The collaboration of these companies can continue to compete for consumer attention.

Instead of bringing people together, AI has effectively and economically split all of us apart.

In China, the authorities will continue to apply centralized control and utilize AI to combine its power. It may use its leverage to use AI to its military and security devices and continue toward creating human-level AI. It is going to gradually start subtle AI-powered strikes and choose the electronic infrastructure of this US as a hostage. Earth is on the verge of a frightful ASI [artificial intelligence] that’s been invented using a nation that doesn’t share our democratic ideals and values.

From the ironic situation, that the G-MAFIA will keep their unabated contest and will gradually set their variant of China’s societal score on taxpayers in various nations. People today cannot determine the tiniest things in their own lives. The G-MAFIA will do a split among the individuals as everybody becomes locked into among several incompatible platforms which extend on all parts of their own lives. AI will help determine the societal fabric.

America and its allies that formerly celebrated from the G-MAFIA’s victories are still living under a method of AI despotism.

Citizens during China and the nations encouraged by China’s direct investment and base to discover they too, are living beneath a non-technical apparatus of AI-powered reward and punishment.

China expands its AI dominion by imitating its technology and surveillance abilities to other nations. Those nations necessarily become satellite countries of the Chinese Communist Party as a part of its AI-powered surveillance program. The hardship involving China and also US allies reaches ahead if one of those parties grows super-smart AI and annihilates another.

GAIA: The Strategy to place AI on the Ideal course

The Key among the players is that the creation of the International Alliance on Intelligence Augmentation, or GAIA. This global body includes AI researchers, sociologists, economists, game theorists, futurists, and political scientists in all member nations. GAIA will even reflect all socioeconomic, sex, race, spiritual, political, and sexual diversities.

Such a body may result in the “positive scenario,” where AI is a power permanently. Citizens gain in transparency, standardized protocols, and selection of technologies, ownership of information. AI enhances human cognition and supplies predictive attention to everybody, struggles climate change, filters and finds out misinformation about social networking, and much more.

Under the advice of GAIA, AI brings people together. All countries, such as China, will likely be encouraged to join the alliance. When they don’t aspire to expand its condition of surveillance, it is going to be kept in check with a strong international coalition. GAIA uses its technical and economic advantage for the good of humanity. No government will have the ability to prey on vulnerable countries to enlarge its AI dominion. GAIA will offer a more comprehensive choice where no nation is going to exchange the health of the citizens such as survival.

That seems easier said than done, however since Webb describes in her book, it’s a route that’s constructed one measure, one brick, one pebble at a time. Big Players will play an essential role soon of AI; however, we can not allow them to do it independently.

Safe, valuable technology is not a consequence of trust and happenstance. It’s the product of brave leadership and devoted continuing collaborations.

The Large Nine are under extreme stress –in Wall Street at the USA and Beijing from China -to meet standards that are overburdened, at a high cost for our futures. We have to empower and encourage the Large Nine to change the trajectory of AI, since with no groundswell of support by us they can’t and won’t do it by themselves.

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