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Writing 120 - Memory and Resistance in Latin American Film

Starting Points

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  • Huge collection of books (print and digital), scholarly journals, research databases, and more
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Can't I Just Use Generative AI for my Assignment?

Using Generative AI/ ChatGPT vs working with Duke Library Librarians and Resources

Artificial Intelligence (AI) enables computers to perceive, reason, learn, interact, problem-solve, and exercise creativity, allowing them to perform tasks traditionally associated with human intelligence. Generative AI (GAI) refers to artificial intelligence systems that create new content, such as text, images, music, and video, by learning patterns from vast datasets. 

The Use of AI in Academia

The use of AI in academia raises concerns about academic integrity, bias in AI-generated content, data privacy, and the responsible use of AI-assisted tools. However, when implemented thoughtfully, AI can enhance research efficiency, personalize learning, and streamline administrative tasks, supporting innovation and academic growth.

Benefits Risks
Enhances Creativity - Generative AI can produce unique ideas, designs, and content, helping users brainstorm and innovate Potential for Misinformation - AI-generated content may incorrect or misleading information requiring careful verification before use.
Automates Content Creation - AI streamlines writing, image generation, and coding, saving time and effort. Ethical & Copyright Concerns - AI can unintentionally replicate copyrighted material or produce content that lacks originality, raising plagiarism risks.
Personalizes User Experiences - AI adapts response based on user preferences, improving engagement in education, marketing, and customer service. Privacy & Data Security Issues - AI-driven personalization relies on user data, which can lead to concerns about data misuse, surveillance, or security breaches.
Accelerates Research & Problem-Solving - AI quickly analyzes large datasets, aiding in scientific discoveries, business insights,   and technical solutions. Bias in AI-Generated Insights - AI models may reflect biases from their training data, potentially leading to unfair or inaccurate conclusions in research and decision making

Looking for more information on AI@Duke, visit the following resources: