Joining the discussion, we have Michael Kennedy from the Talk Python To Me podcast, known for his expertise in Python and its applications across various domains. Next, Blake Rayfield, a professor at Northern Arizona University, shares his perspective on the role of AI in higher education and research. The episode is rounded out with Brian Okken, host of the Python Test podcast, who provides a critical look at how AI is influencing software testing and development practices.

Together, this panel navigates the complex terrain of AI's role in coding and education, sparking insightful debates and offering viewpoints that reflect the diverse spectrum of thought in the tech community.

Special Guests: Blake Rayfield, Brian Okken, and Michael Kennedy.

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Special Guest: Cecilia Celeste Danesi.

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Links:

• The Empire of Algorithms — In today's world, Artificial Intelligence (AI) is playing an increasingly central role in our lives.
• Abstract, ubiquitous and opaque: The challenges of AI regulation — Prof Cecilia Danesi discusses the ethical governance of AI and the difficulty of balance in AI regulation.
• El imperio de los algoritmos | Cecilia Danesi
• Inteligencia Artificial y Derecho | Cecilia Danesi

Special Guests: Philip Guo and Sam Lau.

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• sam lau
• AI Code Generation Tools Study — From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot
• Pandas Tutor: Using Pyodide to Teach Data Science at Scale | Pyodide blog — Hi, we’re Sam Lau and Philip Guo, and we teach data science classes at UC San Diego. In this guest post we’ll tell you about our free educational tool, Pandas Tutor, that helps students learn data science using the popular pandas library. The above screenshot shows how you can use it to write Python and pandas code in a web-based editor and see visualizations of what your code does step-by-step.
• Pandas Tutor - visualize Python pandas code — Pandas Tutor lets you write Python pandas code in your browser and see how it transforms your data step-by-step. (If you use R, try Tidy Data Tutor. To visualize general Python, Java, C, C++, and JavaScript code, try Python Tutor.)
• Teaching Programming in the Age of ChatGPT — How computing instructors plan to adapt to ChatGPT, GitHub Copilot, and other AI coding assistants (ICER 2023 paper)
• Real-Real-World Programming with ChatGPT — Taking AI Far Beyond Small Self-Contained Coding Tasks

Dr. Talagala starts by explaining how she started teaching her then 9-year old daughter about AI and quickly realized that there were a lot of gaps in the available AI materials for teaching. She started assembling resources and organizing the content in a way that worked well for kids while providing them with room to grow their knowledge and skills. This quickly turned into a book project, The Fundamentals of Artificial Intelligence, Volume 1 with her co-author Dr. Sindhu Ghanta.

Next, the conversation shifts to teaching the ethics of AI and the potential risks and benefits of AI for society. Dr. Talagala explains how students need projects that they can relate to and easily adapt to answer the questions they generate. She suggests that middle school students can play a role in shaping the future of AI by learning about these issues, questioning the status quo, and advocating for responsible AI practices. The episode ends with resources and recommendations for teachers who want to learn more about AI and ML.

Special Guest: Nisha Talagala.

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Links:

• Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store — This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.
• AIClub - AI for Kids, Coding, IOT, Apps for Kids | AIClub — Artificial Intelligence is the Future. Are Your Kids Ready?
• The Three E’s Of Problem Solving: Core Skills In The Age Of ChatGPT — I have written articles (like this one) on how technologies like ChatGPT, while massively disruptive, are not necessarily the first ones that upended our understanding of what core workplace skills need to look like. In the presence of ever-increasing automation - I would argue the core skills that remain are problem-solving skills - which can be measured by three Es - Effective, Efficient, and Ethical

In this episode of the Teaching Python podcast, Kelly and Sean delve into the topic of ChatGPT and its potential impact on computer science education. ChatGPT is a new artificial intelligence tool developed by OpenAI that has generated a lot of buzz in the tech industry. The hosts consider both the potential benefits and drawbacks of using ChatGPT in the classroom, and discuss how it could be used to enhance the learning experience.

One of the key points they address is the question of whether ChatGPT will be a helpful or harmful addition to computer science education. On the one hand, ChatGPT has the potential to be a powerful teaching aid, providing students with a unique and engaging way to learn. On the other hand, there are concerns that the use of ChatGPT could lead to a reduction in critical thinking skills, as students may rely too heavily on the tool for solutions.

Ultimately, Kelly and Sean argue that ChatGPT has the potential to be a valuable resource for educators, but it is important to use it in a balanced and mindful way. They suggest that incorporating ChatGPT into the curriculum in combination with other teaching methods could be an effective way to maximize its benefits and minimize any negative effects. If you are interested in learning more about ChatGPT and its potential applications in education, be sure to check out the linked resources.

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• ChatGPT: Optimizing Language Models for Dialogue — We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.
• Aligning Language Models to Follow Instructions — We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.
• Proximal Policy Optimization — We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
• ChatGPT Equivalent Is Open-Source, But it Is of No Use to Developers — It seems like the first open-source ChatGPT equivalent has emerged. It is an application of RLHF (Reinforcement Learning with Human Feedback) built on top of Google’s PaLM architecture, which has 540 billion parameters. PaLM + RLHF, ChatGPT Equivalent is open-source now, it is a text-generating model that acts similarly to ChatGPT, was provided by the developer in charge of reverse engineering closed-sourced AI systems like Meta’s Make-A-Video. It is characterized as a work in progress.
• How AI Is Changing The Way Students Learn — In the education landscape, technology is rapidly changing. AI and machine learning, in particular, are now impacting the education sector in numerous ways. In fact, despite some commonly held beliefs, the use of AI in education goes beyond grading student assessments, and this technology can greatly benefit both educators and students.
• Brian Bourque on Twitter: — "ChatGPT will revolutionize how non-technical folks build products. Here's an example (I put this together in 2 min, so yeah, it's crappy):" / Twitter
• Can Anti-Plagiarism Tools Detect When AI Chatbots Write Student Essays? | EdSurge News — After its launch last month, ChatGPT, the latest chatbot released by OpenAI, made the rounds online. Alex, a sophomore at a university in Pittsburgh, started toying with the chatbot about a week after it was released, after finding out about it on Twitter. Within a couple of days, he got really excited by the quality of the writing it produced. The chatbot was good, he says—really good. (“Alex” is the name that this person provided to EdSurge. He only agreed to speak anonymously, for fear of repercussions for admitting to academic dishonesty.)
• Will ChatGPT Kill the Student Essay? - The Atlantic — Nobody is prepared for how AI will transform academia.
• ChatGPT for Google - Chrome Web Store — Display ChatGPT response alongside Google Search results This is an open-source extension that show response from ChatGPT alongside Google and other search engines
• ZohaibAhmed/chatgpt-api: This repo is unofficial ChatGPT api. It is based on Daniel Gross's WhatsApp GPT — It uses playwright and chromium to open browser and parse html. It is an unoffical api for development purpose only.
• lencx/ChatGPT: 🔮 ChatGPT Desktop Application (Mac, Windows and Linux) — This is a major and exciting update. It works like a Telegram bot command and helps you quickly populate custom models to make chatgpt work the way you want it to. This project has taken a lot of my spare time, so if it helps you, please help spread the word or star it would be a great encouragement to me. I hope I can keep updating it and adding more interesting features.
• ChatGPT Tutorial - A Crash Course on Chat GPT for Beginners - YouTube — This ChatGPT Tutorial is a Crash Course on Chat GPT for Beginners. With the increase in popularity, ChatGPT is still unknown to many people. In this video, I will provide a crash course on different ways to use ChatGPT.

“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”
Dale Lane IBM Interview

Special Guest: Dale Lane.

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Links:

• Machine Learning for Kids — This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.
• You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books — "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.
• Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books — What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples. Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out. Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,