7 Different Kinds of AI and the Fields They Affect

Ever wonder about how artificial intelligence has continuously advanced over time? This article will provide insight into numerous types and kinds of AI and the fields of work they can be associated with. From the college admissions process to the medical field AI is everywhere.

SwissCognitive Guest Blogger: Taylor McKnight – “7 Different Kinds of AI and the Fields They Affect”

Artificial intelligence (AI), is creating machines that mimic human intelligence and learning abilities. It encompasses developing computer algorithms and systems that can accomplish tasks that typically necessitate human intelligence, including problem-solving, recognizing speech, natural language processing, and decision-making.

Let’s investigate seven distinct types of AI and their respective applications across different fields.

1. Rule-Based AI

In the legal domain, rule-based AI has the potential to automate the provision of legal advice on commonplace legal matters like contract drafting. Similarly, in the context of college admissions, this type of AI could assist students in determining which universities they are eligible for based on their academic performance and other relevant criteria.

2. Machine Learning

Machine learning has several applications in the medical sector, including analyzing patient data to forecast the most efficacious treatment methods. Furthermore, it could be employed in home environments to create automated personal assistants that learn from user behavior, thereby providing tailored recommendations.

3. Deep Learning

Deep learning technology has numerous potential applications in online chat services, including customer support, chatbots, or virtual assistants that can comprehend and respond to complex questions using natural language. In college admissions, deep learning could be employed to scrutinize admissions essays and predict which applicants are more likely to succeed.

4. Natural Language Processing

NLP is wisely used in online chat for customer service and virtual assistants. Natural language processing has various practical applications in the medical industry, such as extracting pertinent information from patient records or assisting with medical transcription tasks. In college admissions, NLP could be used to evaluate admissions essays and identify which students are more likely to achieve success.

5. Robotics

Robotics could be used in the medical field for remote surgery or to assist with patient care. In the home environment, robotics could be used for automated cleaning or assistance with daily tasks. In the legal field, robotics could be used for document automation or to assist with research.

6. Computer Vision

In the medical domain, computer vision can automate diagnosis based on medical imaging, such as X-rays or MRIs. In the home environment, computer vision could be used for mechanical security systems.

In college admissions, computer vision technology could be applied to scrutinize student portfolios and ascertain which candidates are more likely to succeed.

7. Generative AI

Generative AI could be used in online chat for virtual assistants to create personalized responses based on user behavior. In the medical field, generative AI could be used for drug discovery or to generate customized treatment plans. For lawyers, generative AI could be used to draft legal documents such as contracts or patents.

AI can potentially revolutionize several industries, such as online chat services, college admissions, healthcare, home environments, and legal domains.

Employing AI in sectors like healthcare or law gives rise to essential ethical considerations, particularly regarding privacy, accountability, and bias. AI algorithms may perpetuate or even amplify existing biases in data or decision-making processes if not designed and implemented carefully.

It’s important to be aware of computer vision limitations and potential biases and use them responsibly and ethically.

About the Author:

Taylor McKnight is a Digital Marketing PR Specialist with clients in all business niches. When he is not working, he enjoys learning of social media and technology trends or current events that are happening today.