Issues of Artificial Intelligence

Artificial Intelligence issues

Artificial intelligence continues to bring additional benefits to human life. According to McKinsey's report, artificial intelligence will add $ 13 billion to $ 13 billion to the global economy by 2030, accounting for 16% of total global shares. Despite the tangible and financial benefits, AI has various shortcomings and concerns that prevent it from being widely adopted. These issues include security, trust, computing power, job loss issues, etc.

Important issues related to artificial intelligence

Here are some of the main problems related to artificial intelligence and its possible solutions.

1. The problem of job loss

Concerns about job losses linked to artificial intelligence have been the subject of numerous commercial and academic studies. According to the Oxford study, in the mid-2030s, automation will threaten more than 47% of American jobs. According to the World Economic Forum, the automation of artificial intelligence will replace more than 75 million jobs by 2022. Some statistics are even more difficult. According to another McKinsey report, AI-based robots can replace 30 of the world's current workforce. According to AI expert and venture capitalist Kai Fu Lee, 40% of global jobs will be replaced by AI-based boats in the next 10 to 15 years. Low-income and low-skilled workers will be the most affected by this income. As the AI ​​day grows, even the highest paid and most skilled workers lose their jobs, because given the high cost of skilled workers, companies automatically get better margins for their work. Do However, these problems related to job loss and wages can be resolved by focusing on the following steps.

Ø  Focus more on skills such as restoring the education system and critical thinking, creativity and innovation, as these skills are difficult to replicate. Ø  Increase public and private investment in human capital development so that it is better aligned with industry demand. Ø  Improve the labor market situation by bridging the gap between supply and demand and by stimulating the economy.

2. Security issue

There have always been many stories about security issues related to artificial intelligence. When experts like Elon Musk, Stephen Hawking, Bill Gates and many others have expressed concern about the security of AI, we need to pay attention to its security concerns. There have been many cases where artificial intelligence went wrong when Twitter started to express abusive gossip and pro-Nazi feelings and otherwise when Facebook AI robots started communicating with each other in a language that no one else will understand the language, and ultimately led to this project. switch off.

There is a serious concern that artificial intelligence will harm humanity. The fact is that sophisticated weapons can be programmed to kill other human beings. AI forming a "brain of their own mind", there are also concerns and do not value human life. If such weapons are deployed, it will be very difficult to eliminate the consequences. The following steps can be taken to reduce these problems.

Ø  We must have rules and regulations, especially when it comes to creating or testing autonomous weapons. Ø  Global cooperation is needed on issues related to these weapons to ensure that no one is involved in the rat race. Ø  Full transparency in the system where these technologies are tested is essential to guarantee its safe use.

3. The question of trust

As the artificial intelligence algorithm becomes more and more powerful, it also raises a number of issues related to the ability to make decisions and trust for the betterment of humanity. The issue of trust becomes even more important as the human level progressively gains knowledge. There are many applications where AI works like a black box. For example - in high frequency trading, even program developers do not fully understand the basis on which artificial intelligence has traded. Other amazing examples include an algorithm based on Amazon's AI for same-day delivery which was inadvertently biased against black neighborhoods, another example was the Corrective Criminal Administration for Alternative Restrictions (COMPAS) where artificial intelligence algorithms

Here are some steps you can take to begin the process of preparation for mediation

Ø  All major artificial intelligence providers will have to set rules and regulations regarding trust and transparency in the implementation of AI. All actors involved in the development and use of artificial intelligence must follow these principles religiously Ø  All stakeholders must be aware of the bias that accompanies the AI ​​algorithm internally and have the means to detect and manage stable bias. Ø  Awareness is another important factor that plays an important role in bridging the trust gap. Consumers should be made aware of AI operations, its capabilities and even the shortcomings associated with artificial intelligence.

4. Accounting

Artificial intelligence algorithms involve analyzing large amounts of data that require a large amount of computing power. So far, the problem has been solved using cloud computing and parallel processing. However, as the amount of data increases and more complex deep learning algorithms become mainstream, the current computing power will not be enough to meet the complex need. We will need more storage and computing power to be able to handle data in XBytes and Zeitabytes.

Quantum computing can solve the problem of processing speed in the medium and long term

Quantum computing based on the concepts of quantum theory can be the answer to the problem of computing electricity. Quantum computing is 100 million times faster than the average computer used in our home. Although currently in the research and experimental phase. According to estimates by various experts, we can see its general implementation in the next 10 to 15 years.

The above problems are certainly not impossible to solve, but they require rapid technological advancement and human cooperation. Although we are on the right track in terms of technological advancement rates, we still have a long way to go to develop principles, procedures and frameworks to ensure that powerful technologies like AI are not used. happens. Naughty or misused, which can lead to unannounced results.