Artificial intelligence (“AI”) is defined as a system that imitates human intelligence to conduct similar tasks by improving itself based on the submitted or collected information. Artificial intelligence can be used in various industries such as manufacturing, automobiles, education, medicine, and financial services. Artificial intelligence can be used to detect and defend against cybersecurity intrusions, solve technical problems, lower production management tasks, and assess internal compliance for accepted vendors. Artificial intelligence technology is affordable and can produce faster results when compared to human interactions.
The terms artificial intelligence, machine learning, neural networks, and deep learning are not the same. Machine learning is a subset of artificial intelligence. Deep learning is a subset of machine learning. Neural networks create the backbone of deep learning algorithms and imitate the human brain by using specialized algorithms. It’s also important to realize that deep learning is different from machine learning. There are three main types of artificial intelligence: (1) Artificial Narrow Intelligence; (2) Artificial General Intelligence; and (3) Artificial Super Intelligence. For example, chatbots and virtual assistants (e.g., Alexa, Siri) are considered artificial narrow intelligence since they’re unable to incorporate human behaviors or interpret emotions, reactions, or tones.
What are the potential cybersecurity issues?
Naturally, with the advent of new technology, there will be privacy and cybersecurity concerns. There is also a concern over data correctness, data protection, and data control. Data correction largely depends on the submission of large and proper information to the computer. In other words, if the data or information is improper or incomplete, there will be errors as a result of algorithmic bias. Data protection is another key component when using this technology especially if there’s the possibility of a breach. Data protection is important when feeding the artificial intelligence machine with data sets. Data control is important because the wrong conclusions or decisions can be made with the submitted information. For example, the machine can erroneously not grant or issue credit to a qualified person.
Cybersecurity is a valid concern in this context because the information is usually unique and yields meaning and value. The information that’s being transferred to the AI computers is usually private or confidential – e.g., name, mailing address, telephone, email address, IP address, credit card number, social security number. In essence, it derives value because it’s unique and can generate income. Hence, the bad actors will be interested in gaining access to this information. We have discussed and evaluated various cybersecurity measures that can be implemented by companies such as encryption. In essence, encryption is the methodology of converting information into a secret code that cannot be understood since it’s electronically scrambled by the computer. The unencrypted information is referred to as “plaintext” and the encrypted information is referred to as “ciphertext.” The main types of encryption are DES, AES and RSA which are being used at this time. There are symmetric and asymmetric encryption technologies. So, in short, encryption should help mask the information from the bad actors.
We need solid and uniform laws that would help us safely use artificial intelligence technologies. The laws should protect the vendors, suppliers, manufacturers, and users from all perspectives. A bipartisan bill called the Artificial Intelligence Capabilities and Transparency (“AICT”) Act was recently introduced to maximize transparency for the government’s artificial intelligence systems. This federal statute was contemporaneously introduced with the Artificial Intelligence for the Military (“AIM”) Act.
Our artificial intelligence lawyers have been prosecuting and defending legal actions in state and federal courts and are available to speak with clients. Our law firm assists clients in matters related to artificial intelligence, cybersecurity, privacy, and the applicable state, federal, or international laws. Please contact our law firm to speak with an artificial intelligence attorney at your earliest convenience.