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AI at Auraria Library

What is AI?

Artificial Intelligence (AI) refers to the field of computer science focused on creating machines capable of performing tasks that typically require human intelligence. This encompasses a variety of functions, including learning, problem-solving, decision-making, pattern recognition, and language understanding.

Definition of AI

AI can be broadly defined as the simulation of human intelligence processes by machines, particularly computer systems. This includes various technologies and methodologies that enable computers to perceive their environment, learn from experiences, and make decisions based on data analysis.

Key Characteristics

  • Learning from Experience: AI systems can improve their performance over time by analyzing vast amounts of data and identifying patterns.
  • Understanding Natural Language: Many AI applications can comprehend and respond to human language, facilitating communication between humans and machines.
  • Autonomy: Advanced AI systems can operate independently, making decisions without human intervention, such as in self-driving cars.

In summary, AI is a dynamic and rapidly evolving field that aims to replicate and enhance human cognitive functions through advanced computational techniques. Its applications are diverse, impacting numerous sectors from healthcare to finance and beyond.

 

Works Cited

"Define AI for me" prompt. Perplexity, Perplexity AI, 2 Jan 2025, perplexity.ai.

What is AI useful for?

AI tools can be useful for:

  • Brainstorming
  • Outlining
  • Breaking down a task
  • Inspiration
  • Editing
  • Study help
  • Background research

AI tools should not be used for:

  • Finding resources
  • Writing
  • Creativity
  • Generating citations

Benefits of Using AI

Efficiency and Speed 

  • AI can process large datasets quickly, saving time on data analysis. 
  • Automates repetitive tasks, allowing more focus on critical thinking and creativity. 

Enhanced Data Analysis 

  • AI algorithms can identify patterns and insights that might be missed by human analysis. 
  • Machine learning models can predict trends and outcomes based on historical data. 

Access to Advanced Tools 

  • AI-powered tools can assist in literature reviews, summarizing vast amounts of information. 
  • Natural Language Processing (NLP) can help in understanding and generating human language, useful for drafting and editing research papers. 

 

Works Cited

“Please provide an outline of what college students should consider when using AI in research. I want the limitations and ethical issues as well as the benefits.&rdquo Copilot: AI Assistant, Microsoft, 16 Oct. 2024, copilot.microsoft.com.

Limitations of Using AI

Hallucinations or Confabulations

  • AI tools sometimes make up answers, or create information or sources that seem real but are not.

Data Quality and Bias 

  • AI systems are only as good as the data they are trained on. Poor quality or biased data can lead to inaccurate results. 
  • Ensuring data diversity and quality is crucial to avoid skewed outcomes.

Technical Expertise 

  • Requires a certain level of technical knowledge to effectively use AI tools. 
  • Understanding the underlying algorithms and their limitations is important to interpret results correctly. 

Cost and Accessibility 

  • Some advanced AI tools and software can be expensive. 
  • Access to high-performance computing resources may be limited for some students. 

 

Works Cited

“Please provide an outline of what college students should consider when using AI in research. I want the limitations and ethical issues as well as the benefits.” Copilot: AI Assistant, Microsoft, 16 Oct. 2024, copilot.microsoft.com.