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Artificial Intelligence (AI): Homepage

Overview

Artificial Intelligence (AI) is a rapidly evolving technology that is constantly changing. This subject guide offers up-to-date information and resources on all aspects of AI. This Guide is made for students, faculty, and staff at UCNJ. Some of the resources presented will require you to login using your UCNJ email and password to access.


What is Artificial Intelligence (AI)?

“Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities” (What is artificial intelligence (AI)?, n.d.).

Who is Using AI? 

The following statistics come from the Pew Research Center published on March 26, 2024:

  • 22% of Americans say they interact with artificial intelligence almost constantly or several times a day
  • 27% of Americans say they interact with AI about once a day or several times a week

Percentage of people by age group who interact with AI at least several times a week:

  • 56% - ages 18 to 29 
  • 54% - ages 30 to 49 
  • 46% - ages 50 to 64 
  • 37% - ages 65 and older

Importance of Responsible Use

AI has shown many benefits to society as it continues to evolve. With these changes and impacts to everyday life, it is essential to keep in mind the potential harms and risks that this technology can have. When using AI, always be mindful and cautious. Keep in mind biases, accountability, fairness, privacy, safety, and transparency. For more information, check out the AI Ethics page by clicking on the tab above.


What is artificial intelligence (AI)? (n.d.). IBM. Retrieved July 18, 2024, from https://www.ibm.com/topics/artificial-intelligence 

Tyson, A., & Kennedy, B. (2024). Many Americans think generative AI programs should credit the sources they rely on. Pew Research Centerhttps://www.pewresearch.org/short-reads/2024/03/26/many-americans-think-generative-ai-programs-should-credit-the-sources-they-rely-on/

 

Key Terms

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"A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks—most often to discover new data insights and patterns, or to predict output values from a given set of input variables. Algorithms enable machine learning (ML) to learn"

"What is a machine learning algorithm?" (n.d.) IBM, https://www.ibm.com/topics/machine-learning-algorithms, Accessed 11 September 2024.


"What's an Algorithm?" (n.d.) TEDEd, https://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan, Retrieved 12 September 2024.

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"Data governance promotes the availability, quality and security of an organization’s data through different policies and standards. These processes determine data owners, data security measures and intended uses for the data."

"What is data governance?" (n.d.) IBM, https://www.ibm.com/topics/data-governance, Accessed 10 September 2024


"Data Governance Explained in 5 Minutes." (n.d.) IBM, https://youtu.be/uPsUjKLHLAg?si=yNc5KCdEQBW4WdKa, Retrieved 10 September 2024.

Data Governance

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"Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today"

"What is deep learning?" (n.d.) IBM, https://www.ibm.com/topics/deep-learning, Accessed 12 August 2024.

"Machine Learning vs. Deep Learning." (n.d.) IBM, https://youtu.be/q6kJ71tEYqM?si=wSoWPWIv9lQITaEE, Accessed 11 September 2024.

Deep Learning

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"Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms" (What is explainable AI?, n.d.).


"What is explainable AI?" (n.d.) IBM, https://www.ibm.com/topics/explainable-ai, Retrieved 12 August 2024.

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"AI hallucination is a phenomenon wherein a large language model (LLM)—often a generative AI chatbot or computer vision tool—perceives patterns or objects that are nonexistent or imperceptible to human observers, creating outputs that are nonsensical or altogether inaccurate"

What are AI hallucinations? (n.d.) IBM, https://www.ibm.com/topics/ai-hallucinations, Accessed 12 August 2024.


"Why Large Language Models Hallucinate." (n.d.) IBM, https://youtu.be/cfqtFvWOfg0?si=FC7sBSw4xyXEJYNp, Retrieved 12 September 2024. 

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"Large language models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks" (What are large language models (LLMs)?, n.d.)

 

Examples of LLMs: 

  • Gemini
  • ChatGPT
  • Copilot

"How Large Language Models Work." (n.d.) IBM, https://www.ibm.com/topics/large-language-models, Retrieved 12 September 2024.

"Introduction to Large Language Models." (n.d.) Google Cloud Tech, https://www.youtube.com/@googlecloudtech. Retrieved 12 September 2024. 

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"Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy." (What is machine learning (ML)?, n.d.)

The typical supervised machine learning algorithm consists of roughly three components:

  • A decision process: A recipe of calculations or other steps that takes in the data and “guesses” what kind of pattern your algorithm is looking to find.
  • An error function: A method of measuring how good the guess was by comparing it to known examples (when they are available). Did the decision process get it right? If not, how do you quantify “how bad” the miss was?
  • An updating or optimization process: A method in which the algorithm looks at the miss and then updates how the decision process comes to the final decision, so next time the miss won’t be as great.

"What is machine learning (ML)?" (n.d.) IBM, https://www.ibm.com/topics/machine-learning, Retrieved12 August 2024.

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"Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language" (What is NLP (natural language processing)?, n.d.).


"What is NLP (natural language processing)." (n.d.) IBM, https://www.ibm.com/topics/natural-language-processing, Retrieved 12 August 2024. 

 

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"A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions" (What is a neural network?, n.d.).


"What is a neural network?" (n.d.) IBM, https://www.ibm.com/topics/neural-networks, Retrieved 12 August 2024

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"Prompts are your input into the AI system to obtain specific results. In other words, prompts are conversation starters: what and how you tell something to the AI for it to respond in a way that generates useful responses for you" (Effective prompts for AI, n.d.).


"Discover Prompt Engineering." (n.d.) Google AI Essentials, https://www.youtube.com/@GoogleCareerCertificates Retrieved 13 September 2024.

Prompt Engineering

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"Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled data sets to train algorithms that to classify data or predict outcomes accurately"

"What is supervised learning?" (n.d.). IBM, https://www.ibm.com/topics/supervised-learning Retrieved 12 August 2024.


"Supervised Machine Learning" (2018) Crash Course Statistics, https://video.alexanderstreet.com/watch/supervised-machine-learning, Retrieved 12 September 2024.

Supervised Machine Learning

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"Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns or data groupings without the need for human intervention"

What is unsupervised learning? (n.d.). IBM Retrieved August 12, 2024, from https://www.ibm.com/topics/unsupervised-learning


"Unsupervised Machine Learning" (2018) Crash Course Statistics, https://video.alexanderstreet.com/watch/unsupervised-machine-learning, Retrieved 12 September 2024.

Unsupervised Machine Learning

AI News and Blog Feeds

A.I. Revolution

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Relevant UCNJ Degrees

Interested in learning more about AI or interested in pursuing a career in AI? Check out these UCNJ programs and courses to learn more.

Degree Programs & Certifications:

Contact the Authors of this Subject Guide

Angelina Carney, MSLIS, angelina.carney@ucc.edu

Jason Saffer, MLIS, jason.saffer@ucc.edu

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