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
Individualized
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
AI-powered assistants being built into major/popular productivity tools
M365
Notion
XMind
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
transparency
access
accessibility
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.
education
Degree programs
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.
certifications*
MIT: Artificial Intelligence: Implications for Business Strategy
USAII:
Certified Artificial Intelligence Engineer
Certified Artificial Intelligence Consultant
Certified Artificial Intelligence Scientist
ARTIBA: Artificial Intelligence Engineer
impacts
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
TVT Bibliography
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.