Artificial Intelligence Expert - The Future of AI

 

An intelligence 

 (ai) is really a revolutionary  computer company, decided to become a main component of all modern software over the next few years and decades.

AI and Big Data 

 In general, AI refers to computer tools that can replace human intelligence in the performance of certain tasks. This technology is advancing at a breakneck pace, as was the exponential growth of database technology at the end of the 20th century. Databases have become the basic infrastructure for business software. Likewise, most of the new software values ​​added over the next few decades are expected to be driven, at least in part, by artificial intelligence. 

 

 During the last decade, databases have evolved considerably to handle the new phenomenon called "big data". This refers to the unprecedented size and global scale of modern data sets, many of which are collected by computer systems that have become the mediators of almost every aspect of daily life.For example, YouTube receives over 400 hours of video content every minute (Brouwer 2015).

For example, the researchers have formed computer models to identify the personality sections of a person more carefully compared to their friends based exclusively on Facebook positions they have appreciated

For example, chatbots can be used to answer customer service questions, and the medical assistant's AI can be used to diagnose illnesses based on the patient's symptoms.

In a simplified model of how artificial intelligence could be applied to cyber defense, activity log lines recorded by servers and network components can be labeled as "hostile" or "non-hostile" and an artificial intelligence system can be trained using this dataset to classify future observations into one of these two classes. The system can then act as an automated sentry, detecting unusual sightings from the vast background noise of normal activity.

As AI uses data to learn, hostile actors could alter the dataset used to train AI to do what they see fit. The "conflicting examples" could provide another new form of attack. Similar to optical illusions, conflicting examples involve altering AI input data in a way that would likely be undetectable by a human, but which is calculated to cause the AI ​​to misclassify voice. a kind of. In a widely speculated scenario, a shutdown could be tweaked slightly for the AI ​​system that controls an autonomous car to falsely identify it as a performance signal, with potentially fatal results (Geng and Veerapaneni 2018).

The new value of  AI 

 data technology will change the cybersecurity environment in another way, as its thirst for data changes the type of information that is a useful asset, transforming collections of information that otherwise would  not be available. not been attractive as targets. actors. 

 

 While some cyber attacks aim only to disrupt, inflict damage or create havoc, many seek to seize strategic assets such as intellectual property. Increasingly, attackers in cyberspace are playing long-term games, trying to acquire data for purposes as yet unknown. Artificial intelligence systems to use even harmless data gives rise to the tactic of “data recovery” by gathering all possible information and storing it for future strategic use, even if this use is not well defined. for the moment. 

 

 A recent New York Times report illustrates an example of this strategy in action (Sanger et al. 2018). The report notes that the Chinese government has been implicated in the theft of personal data from more than 500 million guests of the Marriott hotel chain. While the primary concern with data breaches is usually the potential misuse of financial information, in this case the information could be used to track down suspicious spies by examining travel patterns or to locate and detain individuals in order to use them as currency. . . 

 

 Data and artificial intelligence connect, unify and free  intangible and tangible resources; they should not be considered separate.The amount of data is becoming a key success factor in business, national security and even, as the Cambridge Analytica scandal shows, in politics. The Marriott incident shows that relatively ordinary information can now be a strategic asset in intelligence and national defense, as  intelligence can extract useful information from seemingly disparate sources of information. Therefore, this type of big data is likely to become a more common target for players operating in this field.

It will be essential to harmonize these policies between national courts.