AI and Chat-GPT: What They Are AND Aren’t
What it IS
- AI is a machine’s ability to perform the cognitive functions we associate with human minds, such as perceiving, reasoning, learning, interacting with an environment, problem solving, and even exercising creativity.
- You’ve probably interacted with AI even if you didn’t realize it—voice assistants like Siri and Alexa are founded on AI technology, as are some customer service chatbots that pop up to help you navigate websites
- Applied AI—simply, artificial intelligence applied to real-world problems—has serious implications for the business world.
- Involves machine learning—a form of artificial intelligence based on algorithms that are trained on data. These algorithms can detect patterns and learn how to make predictions and recommendations by processing data and experiences, rather than by receiving explicit programming instruction.
- Deep learning is a type of machine learning that can process a wider range of data resources (images, for instance, in addition to text), requires even less human intervention, and can often produce more accurate results than traditional machine learning.
Generative AI is an AI model that generates content in response to a prompt. It’s clear that generative-AI tools like ChatGPT and DALL-E (a tool for making AI-generated art)
- ChatGPT (text)
- DALL-E (art)
What it ISN'T
- may often sound extremely convincing. This is by design. But sometimes the information they generate is just plain wrong
- Worse, sometimes it’s biased (because it’s built on the gender, racial, and myriad other biases of the internet and society more generally)
- can even be manipulated to enable unethical or criminal activity
- skills that AI cannot master: strategy, creativity, empathy-based social skills, and dexterity
Benefits of AI and Chat-GPT
- low-level admin work
- analysis of larger amounts of data at greater speed
- leveraging all the known content already on the Internet
Limitations AI and Chat-GPT
- can only pull "knowledge" from what already exists on the Internet
- data not always reliable
- Internet is biased because humans are biased. Therefore, AI is also biased.
- It's all about the prompts
What’s Possible With AI
- Personalized Learning Paths
- Accessibility for All
- Real-Time Feedback
- easing teacher workload
- Automated grading systems for multiple choice, short answer, even essay responses
- Personalized learning pathways based on student performance
Efficiency in Classroom Management
- Automated tracking
AI-powered chatbot assistants for answering student questions and providing guidance
- How does this change teacher time, training, contracts, salaries?
Maintaining a Student-Centered
- Eliminating low-level admin work allows teachers to keep student needs and interests at the forefront of AI
Promoting Open Communication Collaboration
- Encouraging feedback and suggestions from teachers and students on AI implementation
How Chat-GPT Actually Works [Demo Screenshots]
- Neural Network Architecture
- Natural Language Processing
- Training Fine-tuning
- Potential Benefits of Using Chat-GPT in Classroom Teaching
- Potential Limitations/Challenges of Using Chat-GPT in Classroom Teaching
- Ethical Imp of Using Chat-GPT in Teaching
How Students Are Using It
- AI language learning
Research (and finding scholarly resources)
- natural language inquiry
- content ideation, outlining, organizing
- Content writing and editing
- text-generated imaging/visuals
Beulr started during COVID
AI for personalized learning
- AI-powered virtual tutors
AI-powered assistants being built into major/popular productivity tools
How Teachers Can Use It
1st, dcide if and how you can use it
- AI in grading and assessment
- AI for creating plans and curriculum development
- AI for classroom management
- Personalized Learning Paths
- Intelligent Tutoring Systems
- Leveraging AI for Collaborative Learning
- Create Effective Assignments
- AI in Training and Professional Development
General Caveats of AI Use (Copyright, Plagiarism, Simulation)
Ensuring legal, ethical and equitable use Use
- alignment with strategy, mission, values
- minding intellectual property & copyright
- bias in = bias out
Possible Challenges in Implementing AI in the Classroom
- Ethical implications of AI Simulation
- reckon with reputational and legal risks involved in unintentionally publishing biased, offensive, or copyrighted content
- Authenticity Check for AI Content
Strategies Highly Recommended for Successful Integration AI in Teaching
- Impact of AI on Teachers and Institutions
- curriculuar alignment
- Responsible Use Policies
- Privacy and Security Measures
- Integration with Traditional Teaching Practices
Responsible Use Recommendations
- carefully select the initial data used to train these models to avoid including toxic or biased content
- rather than deploying an off-the-shelf generative-AI model, organizations could consider using smaller, specialized models
- Organizations with more resources could also customize a general model based on their own data to fit their needs and minimize biases
- should also keep a human in the loop (that is, make sure a real human checks the output of a generative-AI model before it is published or used)
- avoid using generative-AI models for critical decisions, such as those involving significant resources or human welfare
Tools That Help With Responsible AI Use
- Defining Role of Teachers in Integrating AI into Teaching
Responsible AI Training
- commitment to ethical use
- recognizing and removing bias
- commitment to access and accessibility
- Ethical AI Frameworks
- AI Monitoring Systems
- Building with Parents and Students Regarding AI Use
How Students and Faculty Should Use Collaboratively
new social contract
- working in other countries
- Discuss AI use with students
Career Impact from AI
Top AI Career (as of 8/29/2023)
- AI Engineer - Develops applications and systems that use AI and machine learning techniques to help organizations become more efficient.
- Machine Learning Engineer - Designs, develops, and deploys machine learning models to solve real-world problems.
- Data Scientist - Collects, cleans, and analyzes data to extract insights that can be used to improve business decisions.
- Robotics Engineer - Designs, builds, and programs robots to perform tasks autonomously.
- Natural Language Processing Engineer - Develops algorithms that enable computers to understand and process human language.
- Computer Vision Engineer - Develops algorithms that enable computers to see and understand the world around them.
req's for AI jobs
- Technical prowess. Programming, coding, and data analytics skills are in demand for many AI jobs.
- Ability to collaborate. AI is a complex technology that isn’t harnessed by one person alone. Get ready to work in teams.
- Adaptability. AI capabilities are constantly evolving. Adapting to the changing tools can help you keep up.
- Communication skills. Communicating on AI complexities in writing and verbally will serve you well in the field.
- Curiosity. An innovative mindset can help you explore AI’s full potential.
- Computer science. This degree can pave the path to any of the tech jobs listed below. Discover additional jobs for computer science majors.
- Statistics. A stats degree can lead to jobs like business intelligence developer or deep learning engineer.
- Engineering. An engineering degree can prepare you for many roles, such as an AI research scientist.
- MIT: Artificial Intelligence: Implications for Business Strategy
- Certified Artificial Intelligence Engineer
- Certified Artificial Intelligence Consultant
- Certified Artificial Intelligence Scientist
- ARTIBA: Artificial Intelligence Engineer
- Marketing and sales. Generative AI can craft personalized marketing, social-media, and technical-sales content, including text, images, and video.
- Operations. AI models can generate task lists for efficient execution of a specific activity.
- IT/engineering. Generative AI can write, document, and review code.
- Risk and legal. AI models can answer complex questions, based on vast amounts of legal documentation, and draft and review annual reports.
- R&D. Generative AI can help accelerate drug discovery through better understanding of diseases and discovery of chemical structures.
- jobs most at risk of automation by AI tend to be routine and entry-level jobs
- algorithms will displace routine white-collar work easily, just as software has steadily taken over routine white-collar tasks, such as bookkeeping and data entry
Resources For Staying Updated on Developments [Takeaways]
Continued advancements in AI algorithms and applications for education
- for integrating virtual and augmented reality technologies with AI-assisted learning programs
- Next level simulation
- Increased adoption of-assisted learning programs in schools and universities
- Increased Focus on Training and Professional Development
- AI-Related Newsletters
- Podcasts on AI
- Online AI Communities
- Fowler, Geoffrey A. “Analysis | We Tested a New ChatGPT-Detector for Teachers. It Flagged an Innocent Student.” Washington Post, 14 Apr. 2023. www.washingtonpost.com, https://www.washingtonpost.com/technology/2023/04/01/chatgpt-cheating-detection-turnitin/.
- How Artificial Intelligence (AI) Is Revolutionizing Education ? https://www.linkedin.com/pulse/how-artificial-intelligence-ai-revolutionizing-education-khutia. Accessed 27 Aug. 2023.
- Marr, Bernard. “How Is AI Used In Education -- Real World Examples Of Today And A Peek Into The Future.” Forbes, https://www.forbes.com/sites/bernardmarr/2018/07/25/how-is-ai-used-in-education-real-world-examples-of-today-and-a-peek-into-the-future/. Accessed 27 Aug. 2023.
- University, Carnegie Mellon. New AI Enables Teachers to Rapidly Develop Intelligent Tutoring Systems - News - Carnegie Mellon University. $dateFormat, http://www.cmu.edu/news/stories/archives/2020/may/intelligent-tutors.html.
- “Using AI to Help Organize Lesson Plans.” Edutopia, https://www.edutopia.org/article/ai-lesson-plans/. Accessed 27 Aug. 2023.
- Verma, Nikita. “How Effective Is AI in Education? 10 Case Studies and Examples.” Axon Park, 8 Feb. 2023, https://axonpark.com/how-effective-is-ai-in-education-10-case-studies-and-examples/.
- “What AI Cannot Do.” Big Think, 19 Jan. 2022, https://bigthink.com/the-future/what-ai-cannot-do/.
- What Is AI (Artificial Intelligence)? | McKinsey. https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai. Accessed 22 Aug. 2023.