乱伦社区

1. Integrity

• AI tools must support learning, not serve as a shortcut to evade academic responsibilities.
• Any AI-generated content must be properly credited—passing off AI work as your own is academic misconduct.

2. Transparency

• You must explicitly disclose when and how AI tools were used in your work.
• Failure to follow institutional AI disclosure rules may result in academic penalties.

3. Accountability

• AI-generated information is not always accurate—you are responsible for verifying its correctness.
• You alone are accountable for the originality and quality of your submissions.

4. Fairness

• Using AI to gain an unfair advantage over peers is unethical and unacceptable.
• AI should aid your learning, not replace critical thinking, problem-solving, or collaboration.

5. Respect for Privacy

• Never input sensitive, personal, or confidential data into AI tools.
• Violating privacy or misusing AI in group work is a serious offense and may have consequences.

Generative AI refers to artificial intelligence technologies capable of creating new content—including text, images, audio, and code—based on user prompts. The 乱伦社区 (CSU) encourages the innovative use of these technologies while ensuring responsible practices that prioritize data security, privacy, regulatory compliance, and intellectual property protection.

1. Data Confidentiality

Do not input confidential or sensitive information (Levels 1 & 2) into publicly accessible generative AI tools.* These tools may not offer secure data protection, and any shared information could become publicly accessible. Always assume that data entered into public AI platforms may be exposed.

2. Content Verification

AI-generated content may contain inaccuracies, misleading information, or even fabricated details ("hallucinations"). Additionally, AI-generated material might inadvertently include copyrighted content. It is your responsibility to verify the accuracy and appropriateness of AI-generated outputs before using or sharing them.

3. Phishing & Security Awareness

Generative AI has made phishing scams and deepfake content more sophisticated. Be vigilant against suspicious emails, messages, or AI-generated impersonations. Report any suspected phishing attempts or security threats to your campus help desk immediately.

4. AI Tool Procurement

Before purchasing or implementing any generative AI tool, consult your campus help desk. They can help assess whether an AI tool meets security and compliance standards or if a pre-approved CSU-supported alternative is available.

5. User Privacy

CSU’s Responsible Use Policy governs both user and system administrator activities when using technology services. While CSU has legal and operational obligations requiring access to certain user data, this oversight is not intended to restrict, monitor, or utilize the content of legitimate academic and organizational communications.

ETHICAL Principles AI Framework for Higher Education GuideLine For Staff:

The ETHICAL Principles AI Framework provides a flexible foundation for the responsible use of Artificial Intelligence (AI) in higher education. Recognizing AI’s evolving nature, this framework allows colleges, departments, and institutions to adapt these principles to their unique academic environments. It is intended as a guiding resource rather than a rigid policy, encouraging ethical AI integration while considering privacy, security, academic integrity, and inclusivity.

Guiding Principles

1. Exploration and Evaluation

• Critically assess AI tools and their outputs.
• Encourage AI literacy and responsible experimentation.
• Recognize AI’s limitations, biases, and potential risks.
• Verify the accuracy and appropriateness of AI-generated content.

2. Transparency and Accountability

• Clearly communicate AI use in courses, research, and administration.
• Establish open discussions on AI’s role in education.
• Disclose AI limitations, biases, and data practices.
• Implement regular AI audits and reporting mechanisms.

3. Human-Centered Approach

• Use AI to augment, not replace, human decision-making.
• Ensure critical thinking and human oversight in AI-driven decisions.
• Prioritize student and faculty well-being in AI adoption.

4. Integrity and Academic Honesty

• Develop clear guidelines for AI use in academic work.
• Educate on proper citation and attribution of AI-generated content.
• Align AI use with institutional ethical and professional standards.

5. Continuous Learning and Innovation

• Offer AI literacy training for students, faculty, and staff.
• Stay informed on emerging AI trends and best practices.
• Support interdisciplinary collaborations in AI innovation.

6. Accessibility and Inclusivity

• Ensure AI tools are accessible to all users.
• Mitigate biases and promote inclusive AI practices.
• Develop AI policies that align with diverse educational needs.

7. Legal and Ethical Compliance

• Follow privacy, security, and intellectual property laws.
• Adapt AI policies to evolving regulatory and ethical standards.
• Establish an AI ethics review process for high-impact projects.

Implementation Strategies

For Faculty & Instructors:

• 乱伦社区 the framework when incorporating AI into curriculum and assessments.
• Engage in discussions and training on ethical AI use.

For Staff:

• Use the framework in administrative AI applications.
• Participate in AI professional development.

For Students:

• Review course AI policies and engage in discussions on responsible AI use.
• Take advantage of AI literacy programs.

For Administrators:

• Use the framework to create AI policies and evaluate AI tools.
• Establish centralized AI resources for the institution.

Commitment to Continuous Improvement

This framework will evolve alongside advancements in AI technology and educational needs. Institutions are encouraged to:

• Regularly assess and refine AI policies.
• Share lessons learned and best practices.
• Promote collaboration across institutions for responsible AI integration.

This ETHICAL Principle AI Framework fosters a responsible, thoughtful, and inclusive approach to AI in higher education, ensuring that AI’s potential is embraced while upholding academic integrity, accessibility, and ethical responsibility.

• Familiarize yourself with key AI concepts, including machine learning, automation, and data ethics.
• Understand how AI impacts higher education, research, and administrative processes.

2. Integrate AI Literacy into Teaching

• Ensure your curriculum includes AI-related topics relevant to your field.
• Teach students how to assess AI-generated content for accuracy and bias critically.
• Encourage students to use AI as a tool for learning rather than a shortcut to completing assignments.

3. Emphasize Ethical and Responsible AI Use

• Discuss the ethical implications of AI, such as fairness, accountability, and transparency.
• Address concerns related to misinformation, bias, and the potential misuse of AI tools.
• Promote responsible AI use that aligns with academic integrity policies.

4. Assess AI Literacy Competencies

• Incorporate assessments that evaluate students’ ability to understand, use, and critically analyze AI applications.
• Encourage interdisciplinary discussions on AI to provide a well-rounded perspective.

5. Promote Continuous Learning and Adaptation

• Stay informed about AI advancements and how they impact education.
• Participate in AI-related faculty training and workshops.
• Explore university-provided AI tools and resources to enhance teaching and research.

6. Foster Interdisciplinary Collaboration

• Work with colleagues across different disciplines to understand AI’s diverse applications.
• Engage in discussions on best practices for AI use in education.

7. Prepare Students for an AI-Driven Future

• Equip students with AI literacy skills that will be valuable in their academic and professional careers.
• Encourage critical thinking about AI’s role in society and its future impact.

8. Uphold Academic Integrity

• Establish clear guidelines on AI use in coursework and research.
• Educate students on the importance of originality and ethical AI use in academic work.