Generative AI Tools and Resources | 深圳大学图书馆

The generative artificial intelligence section will be continuously updated to reflect developments in the field. Please check this page regularly for the latest information.

Latest Artificial Intelligence Policies

Introduction to Generative AI

With the rapid advancement of artificial intelligence technology, Generative Artificial Intelligence (GenAI), as one of its important branches, is gradually changing the way life and work are conducted. Generative AI, by learning from vast amounts of data, can autonomously generate new data, text, images, and more, showcasing unprecedented creativity and application potential. The application fields of Generative AI are extensive, and here are some common examples:

Text Generation: Automatically drafting press releases, articles, reports, social media content, and more.
Image Creation: Generate artworks, design patterns, advertising images, etc.
Music Composition: Create musical melodies, accompaniments, and even entire songs.
Video Generation: Create video content based on text descriptions or edit and enhance existing videos.
Game Development: Automatically generate game levels, characters, storylines, and more.
Data Augmentation: In the field of data science, generating additional data samples to expand the training set and enhance the model's generalization ability.
Personalized Recommendations: Generate personalized content or product recommendations based on user behavior and preferences.
Language Translation: Automatically translate one language into another, improving the quality and efficiency of translation.
Code Generation: Assist programmers in automatically generating or completing code, thereby improving development efficiency.
Virtual Assistants: Provide natural language interaction to help users obtain information or complete specific tasks.
Educational Assistance: Generate personalized learning materials and practice questions to cater to the diverse learning needs of students.
Medical Assistance: Aid in diagnosing, generating medical reports, or suggesting medication formulations.

These applications demonstrate the potential of generative artificial intelligence in creative tasks and automated processes. As technology continues to advance, the scope and effectiveness of its applications will continue to improve.

Currently, most questions about calculations and formulas cannot be answered by generative AI.

Gen AI Tools Navigation

The selected text translates to: "On this page, some recently developed generative AI tools for learning and research are listed.

When selecting AI tools, it is also important to consult with course instructors and publishers to confirm whether they allow the use of AI tools in the preparation of research or study materials, and to be aware of potential copyright, privacy, and data retention issues.

Shenzhen University Library currently does not provide access support for the tools listed on this page."

Generic GenAI tools：

GenAI Research Assistance

Literature reading and paper writing

AI translation tools

GenAI office, learning assistant

PPT

Forms

Mind map

AI office

AI image/video/audio processing

AI image

AI video

AI audio

AI programming tools

AI search engine

Intelligent body

Common Issues

What is artificial intelligence?

With the rapid advancement of artificial intelligence technology, Generative Artificial Intelligence (GenAI), as one of its important branches, is gradually transforming the way life and work are conducted. By learning from vast amounts of data, Generative Artificial Intelligence can autonomously generate new data, text, images, and more, showcasing unprecedented creativity and application potential.

Generative artificial intelligence is a form of AI that generates new content through algorithms and models. It can be applied in various fields, including the creation of text, images, music, and videos. This type of AI learns from large amounts of data, mastering specific forms of output, and then generates content that is similar to the original data but entirely new. Common methods behind these technologies include deep learning, neural networks, particularly Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN). Generative AI not only creates new content but also helps optimize and automate many creative and analytical tasks.

Generative Artificial Intelligence (Generative AI) is a type of artificial intelligence technology capable of generating new data instances based on existing data. These instances are similar in structure and distribution to the original data but contain entirely new content. This technology typically involves generative models in machine learning, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

Before using Gen AI, certain key points need to be understood.

Generative AI is neither conscious nor intelligent. It is a text prediction machine. This means that the output from artificial intelligence may be inaccurate, off-topic, superficial, or illogical. When using Gen AI, it is necessary to:

-Learn subject knowledge to evaluate AI-generated content.

- Understand that for tasks requiring human judgment, the output will be unsatisfactory.

- Recognize that the output may not include accurate sources or citations, which may need to be manually inserted or checked. Generative artificial intelligence has broad application potential in many fields, but it also comes with challenges such as issues with the quality and authenticity of generated content, copyright concerns, and ethical considerations.

Where to learn more about AI tools?

Navigate to the library homepage and select the "Generative AI Specification" .

Access the "Academic Research" page, click on the "Generative AI Specification" link to enter and explore the relevant content.

Regarding the use of artificial intelligence tools, the library will launch a series of AI exploration training sessions this semester. Please stay tuned to the official WeChat account and homepage for notifications.

Is it wrong to use AI tools?

Overall, there is nothing inherently wrong with using AI tools. As the AI era approaches, it is essential to continually explore the potential of Gen AI and acquire skills in this significant technological field. Remember, many AI tools are based on technologies like machine learning that have been developed over many years and adhere to certain ethical standards. The current challenges mainly focus on the sources of AIGC and instances where individuals attempt to pass off AI-generated content as their original work. Additionally, if AI is being used to complete research, it is crucial to understand the regulations regarding AI usage set by the submission entity.

Which AI tools can be used for free?

Multiple AI toolsets are available for free use. Access them through the following links:

Generative Artificial Intelligence Tools Navigation

Many AI tools offer premium versions at higher prices, but many are free. It is important to remember that user data in such applications is not kept confidential.

Can artificial intelligence be detected in assignments and publications?

Some platforms claim to detect the use of AI in submitted assignments or papers, but many institutions cannot access AI-generated content with their traditional plagiarism detection tools. It is important to note that content written by AIGC often significantly deviates from one's own writing style. Additionally, AIGC-generated content carries the risk of containing false information or having a limited knowledge base, necessitating the selection of appropriate detection tools.

Does Gen AI provide a source of information?

Articles, news media, and websites that provide sources can be indicators of reliability, but it is necessary to independently verify the authenticity and reliability of the information when using them. Since AI tools may "lie," further evaluation of the sources can be done by clicking on links and retrieving references.

Does using AI-generated content require permission, and would it be considered cheating?

There is no unified standard answer to whether AI-generated text is considered cheating. Most educators expect students to submit written work completed independently, but students might believe that by using AI-generated text and then proofreading and modifying it, they have contributed to the final product, making it acceptable.

Before using any tools or assistive technologies, including Gen AI, to complete coursework or write papers and theses, authorization from the school, teachers, etc., must be obtained. Instructors can specify in the syllabus or requirements whether AI-generated text is accepted and how generative AI can be used in the classroom. If students choose to use generative AI technology for writing, they need to ensure that they inform their teachers of its use to comply with academic integrity, respect intellectual property, and meet the expectations of relevant individuals or organizations.

If artificial intelligence is used, should it be credited and cited in the work?

Yes, the use of generative AI tools should be cited. It is important to promptly cite or mark the use of Gen AI tools and application plugins. This kind of marking and citation ensures that others are aware when Gen AI is used to generate content and reduces misunderstandings about the source of information. When writing or publishing using Gen AI, be sure to follow the guidance provided by course instructors, journals, or manuscript publishers/editors. For instance, some may require listing Gen AI as an author, while others may only require an acknowledgment.

For generating emails and grammar modifications, there is no need to cite AI unless simply copying and pasting the AI's response to the query. Remember, even if it is generated by AI, responsibility for all content still lies with the user.
For presentations, coursework, and similar tasks, any use of generative AI tools must be approved by the instructor. When used for publications or papers, publishers typically require the source of the AI to be cited. For more information, refer to the guidelines on citing generative artificial intelligence.

When using Gen AI, how can personal data and information be effectively protected?

To protect personal data and information, do not input sensitive, confidential, or restricted information into Gen AI tools, including but not limited to national secrets, any intellectual property, unpublished research data, export-controlled data, and other sensitive human resources, business, or administrative data.

Can the content generated by Gen AI be completely trusted?

Remember, Gen AI systems can make mistakes. Responses may be inaccurate, misleading, or even completely fabricated. Therefore, always check and evaluate the accuracy of all outputs generated by Gen AI tools before relying on or publicly sharing them.

Academic Ethics and Citation Standards

Generative AI Citation Specification Recommendations：

If choosing to use ChatGPT or other AI technologies for writing, ensure compliance with the relevant policies and permissions outlined by these tools. Each citation style offers different guidelines for referencing generative AI tools like ChatGPT.

APA 7:
- Citation format:Open AI. (Year). ChatGPT (month day version) [Large Language Model].
- Instructions：https://chat.openai.com/chat（How to cite Chat GPT：https://apastyle.apa.org/blog/how-to-cite-chatgpt）
- When using ChatGPT or other AI tools in research, describe the usage of the tool in the "Methods" section or a similar part of the paper. For literature reviews or other types of papers or response papers, describe the usage of the tool in the introduction. In the text, provide the prompts used and then offer any relevant portions of the text generated as a response.
MLA 9 Citation format:"Prompt text" prompt. ChatGPT, day month. version, OpenAI, day month year, chat.openai.com/chat
Chicago Citation format:ChatGPT, response to "Prompt text," OpenAI, month, day, year, https://chat.openai.com/chat
Elsevier: Authors are permitted to use generative AI and AI-assisted technologies during the writing process before submission, but only to enhance the language and readability of the paper, and must disclose this appropriately according to Elsevier's guidelines. The author guidelines open in a new tab/window. Editors can find such disclosures in a separate section before the reference list at the bottom of the paper. If editors suspect that authors or reviewers have violated the AI policy, they should inform the publisher.
IEEE：In any paper submitted to IEEE publications, the use of content generated by artificial intelligence (AI) (including but not limited to text, graphics, images, and code) should be disclosed in the acknowledgments section. The specific AI system used should be identified, and the particular parts of the paper where AI-generated content was utilized should be specified, along with a brief description of the extent to which the AI system was used to generate the content. The use of AI systems for editing and grammar enhancement is a common practice and is generally not intended to fall under the aforementioned policy. In such cases, the aforementioned disclosure is recommended.
Nature： AI Author Attribution: Large language models (LLMs), such as ChatGPT, do not meet our authorship criteria. It is important to note that authorship attribution carries responsibility for the work, which cannot be effectively applied to LLMs. The use of LLMs should be properly documented in the methods section of the manuscript (or in an appropriate alternative section if there is no methods section).
Taylor & Francis：Generative AI tools should not be listed as authors because these tools cannot take responsibility for the submitted content, nor can they manage copyright and licensing agreements. Copyright requires accountability for the content, agreement to publish through a publishing contract, and contractual guarantees regarding the integrity of the work, among other principles. These are uniquely human responsibilities that generative AI tools cannot assume. Authors must explicitly acknowledge any use of generative AI tools in their articles or books through a statement that includes the full name of the tool (with version number), how it was used, and the reason for its use. For article submissions, this statement must be included in the "Methods or Acknowledgments" section. Book authors must disclose their intention to use generative AI tools to their editorial contact as early as possible to obtain approval—whether at the proposal stage (if known) or, if necessary, during the manuscript writing stage. If approved, book authors must include this statement in the book's preface or introduction. This level of transparency ensures that editors can assess whether generative AI tools have been used and whether they have been used responsibly. Taylor & Francis reserves the discretion to publish works to ensure that integrity and guidelines are maintained.
PLOS：PLOS expects articles to report the authors' own work and ideas. Contributions from other sources should be listed as authors, as such tools cannot take responsibility for the submitted content nor manage copyright and licensing agreements. Authors are required to take responsibility for the content, agree to publication through a publishing agreement, provide contractual guarantees regarding the integrity of the work, and adhere to other principles. These are unique human responsibilities, and any contributions from generative AI must be clearly and accurately attributed. Contributions of AI tools and technologies to the research or article content must be explicitly reported in a dedicated section of the "Methods" or, for article types lacking a "Methods" section, in the "Acknowledgments." This section should include the names of any tools used, a description of how the authors used the tool and assessed the validity of its output, and a clear statement of which aspects of the research, article content, data, or supporting files were affected/generated by the use of AI tools.
Sage：When submitting any form of content to Sage or Corwin (including journal articles, manuscripts, and book proposals), it is necessary to disclose any AI-generated content (including text, images, or translations) present in the work. This will enable the editorial team to make informed publishing decisions regarding the submission.