Many individuals believe that artificial intelligence (AI) and machine learning (ML) are synonymous and interchangeable entities. However, contrary to certain misconceptions, there are some very clear differences which separate AI and ML.
Comparing and Contrasting AI and ML
As cited by B.D. Tech Talks, artificial intelligence is formally defined as “the science and engineering of making computers behave in ways that, until recently, we thought required human intelligence.”
However, machine learning is a subcategory of AI and furthermore pertains to exposing AI to data and allowing the technology to subsequently “learn” from said data without direct human programming or interference.
An Overview of Artificial Intelligence
As it stands, AI has and will continue to impact humans and our overall society. One of AI’s most obvious effects in our world has manifested in technology. Even rideshare services (such as Lyft and Uber) which (currently) employ human drivers heavily rely upon the use of GPS. Various big businesses are also working on the development of self-driving cars.
AI’s impacts are also evident in virtual assistant programs such as Alexa and Cortana. This type of science and engineering is already upon us. Subsequently, there are various notions and opinions surrounding AI. Many individuals have professed excitement about the potential breakthroughs which AI can prompt. However, others have expressed concerns about the systemic automation of various jobs which are currently held by humans. Concerned persons have furthermore opined that AI will deepen the divide between the wealthy and the poor.
An Overview of Machine Learning
As a subcategory of AI, ML is also making headway in today’s society. Of the many societal factions, healthcare, education, and the retail sector will face notable impacts. Allowing machines to study the makeup of healthcare and various algorithms will allow for the detection of aberrations and other problems.
The existence of ML will furthermore permit the creation of systems for young people to learn more effectively. As time passes, teachers will foreseeably work with AI in order to maximize the education of their students. ML’s impact in retail will likely evolve facial recognition software in order to customize the experiences (and increase the spending) of returning customers.
A Word to the Wise
As artificial intelligence and machine learning continue to rise in our society, there is great potential for positive strides forward. However, specialists have expressly confirmed the need for strategic, applicable precautions. Like anything else, AI and ML can engender peril without the proper structure, regulations, and control.