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Generative artificial intelligence FAQs

Artificial Intelligence (AI) is transforming education, workplaces, and everyday life. This page is designed to provide answers to common questions about AI and the impacts on students, teachers, and the community as well as guidance on responsible AI use in education. 
This AI FAQ page will be updated as technology evolves. 

General AI Knowledge

AI works by processing vast amounts of data and recognizing patterns to make predictions or automate tasks. Machine learning, a subset of AI, enables computers to learn from past experiences without being explicitly programmed for every scenario.

AI (Artificial Intelligence) refers to computer systems that perform tasks requiring human-like intelligence, such as speech recognition and decision-making.
Machine Learning (ML) is a subset of AI that allows computers to learn from data without being explicitly programmed.
Automation follows predefined rules to complete tasks without adapting to new data (e.g., scheduling emails). AI is more flexible than automation.
Robots are physical machines that may use AI but can also operate with simple automation (e.g., industrial robots). AI-powered robots can process and respond to information, but not all robots use AI.

No, AI is not the same as human intelligence. It mimics cognitive abilities such as recognizing patterns, generating text, and solving problems, but it does not have consciousness, emotions, or independent reasoning. AI follows algorithms and statistical models but lacks human intuition and self-awareness.

AI accuracy depends on the quality of its training data. While AI can be highly precise, it can also make errors. To verify AI-generated content:

Cross-check with reputable sources (e.g., academic journals, news sites).
Look for citations if the AI provides them.
Be skeptical of overly confident or vague answers.
Ask AI to provide sources when possible.

To write a good AI prompt: Be clear and specific, provide context if needed, use step-by-step instructions for complex queries, and refine the prompt if the response is not ideal.

AI generates answers by analyzing vast amounts of data and recognizing patterns. It predicts the most relevant response based on probability, drawing from its training data.

Natural Language Processing (NLP) is a branch of AI that helps computers understand, interpret, and generate human language. It enables AI chatbots, translation services, and speech recognition.

Machine learning (ML) is a subset of AI where computers learn from data without being explicitly programmed. It enables AI to recognize patterns and make predictions.

1. AI has human-like intelligence – AI lacks self-awareness, emotions, and consciousness. 2. AI is always right – AI can make mistakes. 3. AI will replace all jobs – AI automates tasks but often enhances jobs.

AI models improve by training on more diverse data, fine-tuning based on feedback, and leveraging user interactions to refine responses.

No, AI does not feel emotions like humans. However, sentiment analysis in AI can detect emotional tone in text or voice, simulating emotion understanding but not experiencing feelings.

AI chatbots like Gemini use NLP and machine learning to interpret user input, analyze context, and generate responses based on training data.

An AI hallucination occurs when AI generates incorrect or misleading information that appears plausible but is false. This happens when AI lacks accurate data on a subject or misinterprets patterns in its training data. Always fact-check AI-generated content against reliable sources.

AI can make predictions based on patterns in data, such as weather forecasting or stock trends, but it cannot see the future with certainty.

1. Bias in AI – AI can inherit biases from training data. 2. Privacy issues – AI can collect personal data. 3. Misinformation – AI can generate false information. 4. Job displacement – Automation may replace some roles.

AI In Education

AI is used in schools to support learning through personalized education tools, AI-assisted grading, and AI-powered tutoring systems. AI-assisted grading helps streamline feedback by analyzing student responses and identifying patterns, allowing teachers to focus on personalized instruction and student engagement rather than manual grading tasks. Teachers use AI for lesson planning and administrative tasks.

No, AI is a tool that supports teachers but cannot replace them. Human educators provide critical thinking, emotional intelligence, and personalized guidance that AI cannot replicate.

Some useful AI tools in education include:
Chatbots & Virtual Tutors (e.g., Khan Academy’s AI tutor)
Writing Assistants (e.g., Grammarly, AI-powered spell checkers)
Adaptive Learning Platforms (e.g., DreamBox, Lexia, Duolingo)

When used properly, AI can enhance critical thinking by providing students with data-driven insights, encouraging inquiry-based learning, and offering interactive learning experiences.

Students will learn from staff modeling AI use through guided demonstrations, collaborative projects, and structured classroom activities. Teachers will integrate AI discussions and applications into lessons, ensuring students develop a deep understanding of its capabilities and ethical considerations. Staff will be trained through CCPS professional development to effectively integrate AI into their teaching practices.

Students will only have access to Gemini to aid the learning process and deepen their understanding. Teachers, however, will be able to utilize AI to craft accommodations tailored to the needs of a diverse learning population, ensuring individualized support. AI-powered tools, such as speech-to-text software (e.g., Otter.ai), real-time captions, personalized learning platforms (e.g., Lexia), and AI-assisted lesson planning tools, will be leveraged to create differentiated instruction strategies and enhance student engagement.

AI For Students

AI-powered tools can assist with:
Research
Writing suggestions
Math problem-solving

Always verify AI-generated information with credible sources and cross-check details.

Use AI as a learning aid, not to complete assignments for you. Follow school guidelines on academic integrity.

Careers include AI research, data science, machine learning engineering, and ethical AI policy development.

AI helps filter harmful content, detect fake news, and provide security measures like facial recognition and fraud detection.

AI For Teachers & Staff

AI tools can personalize learning, provide instant feedback, and automate repetitive tasks, allowing teachers to focus on instruction.

Yes, AI can generate lesson plans, quizzes, and assist in grading to save time, with the teacher as the driver ensuring alignment with educational goals and student needs.

Teachers should establish clear guidelines on AI use, emphasizing responsible learning over automation. Explicit directions on when and how to use AI will be included with every assignment to ensure clarity and consistency.

Many platforms, including Google AI for Educators and ISTE, offer AI-related PD courses. Additionally, CCPS provides an internal professional development course on AI for staff, ensuring they are well-equipped to integrate AI into their teaching practices.

Schools should set guidelines on acceptable AI use, data privacy, and ethical considerations for AI-assisted learning.

AI For Parents & The Community

Benefits: Personalized learning, accessibility tools, enhanced engagement.

Risks: Privacy concerns, misinformation, and over-reliance on AI.

Encourage critical thinking, set boundaries on AI use, and discuss digital ethics with your child.

AI improves efficiency in many sectors, from healthcare to transportation, but also raises concerns about job automation and ethical AI use.

AI will automate some jobs but create new ones. Encouraging skills in STEM, creativity, and problem-solving will help students adapt.

AI Ethics, Privacy, & The Future

Yes, AI can inherit biases from its training data. These biases can stem from historical inequalities, incomplete datasets, or unintentional biases in algorithm design. Developers work to minimize bias through ethical AI design by implementing diverse training datasets, using fairness-focused algorithms, and continuously monitoring AI outputs for unintended discrimination. Additionally, educators and users should critically evaluate AI-generated content to identify and address potential biases.

Governments and organizations create laws and guidelines to ensure AI is used responsibly.

Some AI tools collect user data to improve functionality. Schools and educators can ensure compliance with data privacy laws by implementing strict access controls, using only approved AI tools that align with FERPA and COPPA regulations, and educating students about responsible data sharing. Always check privacy settings and school policies before use.

Use strong passwords, limit personal data shared with AI tools, and review privacy policies.

In education, ethical concerns include data privacy, bias in AI-driven assessments, the potential for over-reliance on AI tools, and the impact on human decision-making in learning environments. Schools must ensure transparency in AI applications, protect student information, and promote responsible AI usage to mitigate these risks by implementing clear policies, educating students and staff on ethical AI practices, and regularly reviewing AI tools to align with privacy regulations. In education, AI is expected to continue advancing in adaptive learning platforms that customize instruction, streamline administrative tasks, and provide immediate feedback for students and teachers. These technologies will be refined to support differentiated instruction, track student progress with greater accuracy, and offer real-time interventions to enhance learning outcomes.

Current AI is not close to surpassing human intelligence, but ongoing research explores advanced AI models.

CCPS & AI: Local Information

CCPS is implementing professional development, AI literacy programs, and ethical guidelines for AI use in classrooms.

CCPS uses AI for personalized learning, administrative efficiency, and student support services.

Students will have access to Gemini and MagicSchool, the designated AI platforms for student use within CCPS guidelines. Gemini was selected due to its alignment with CCPS educational goals, including enhancing student learning, supporting responsible AI usage, and ensuring data privacy and security. MagicSchool was selected due to its sole design being for education.