GenAI Strategy: Attack Your Assessments
This post is part of a series exploring how faculty and middle leaders can begin to think strategically about Generative AI. In the previous post, I gave an overview of a six-step strategy, beginning with establishing a clear vision. In this post, I’m going to go deeper into attacking your assessments. UPDATE: Less than 24…
Generative AI in Vocational Education: Beyond Chatbots
Earlier this week, I attended a conference on AI run by The Hatchery in Melbourne alongside some great presenters and panelists representing a cross-section of K-12 and higher education. During one of the panels, Emily Ashcroft of University of Canberra mentioned that many of the voices we were hearing came from the Independent sector, and…
Tech’s cavalier attitude to copyright hurts creators and consumers
In a recent online lunch & learn for the Copyright Agency, I presented on the rapid advances in multimodal generative AI, including audio, video, code, and virtual reality applications. While these technologies offer exciting possibilities for creativity and innovation, they also raise serious concerns about copyright infringement and the potential harm to both consumers and…
Ditch the Detectors: Six Ways to Rethink Assessment for Generative Artificial Intelligence
This article is based on a series of short LinkedIn posts and includes the original ideas, plus some of the feedback and discussion from the comments. Head over to my profile on LinkedIn to find the originals. In recent weeks, I’ve shared my thoughts on Generative AI (GenAI) and its impact on assessments, particularly the…
GenAI Strategy for Faculty Leaders
When I work with K-12 schools, the approach to generative artificial intelligence (AI) guidelines generally begins with an audit of current policy documents that relate to digital technologies, such as user agreements, cyber safety policies, and communications. The goal is to identify areas where GenAI needs to be taken into account, without necessarily writing entirely…
Critic, creator, consumer: A framework for using (or being used by) GenAI
In the past 18 months, multimodal generative AI has become increasingly ubiquitous, influencing the way many create and interact with content across various domains, including text, image, audio, and video. While generative AI doesn’t “democratise creativity”, it will impact upon many creative and academic areas. As these technologies continue to advance and permeate our daily…
Good ideas: When to use GenAI for brainstorming
Applying Generative AI like ChatGPT and Copilot to brainstorming is one of the most touted uses, and there are plenty of situations where the technology is well-suited to idea generation. At the same time, it’s not always a great idea to offload the creative process to GenAI. In this post, I’ll explore a few different…
Making meaning with multimodal GenAI
As much as Generative Artificial intelligence has caused waves in education, the focus in research and publications on the impact of GenAI is still squarely on text-based models and in particular ChatGPT. That’s understandable considering the impact OpenAI’s chatbot had almost immediately from its launch November 2022. But by focusing attention on large language models…
Practical AI Strategies Online Course: Launching Next Week!
After months of hard work and collaboration with a group of dedicated educators, I am excited to announce the launch of my online course, Practical AI Strategies, based on my book of the same name. This course is designed to help K-tertiary educators “navigate the rapidly evolving landscape” (if you know, then you know) of…
Generative AI doesn’t “democratize creativity”
Last weekend, I saw a LinkedIn post from influential AI-educator Ethan Mollick, in which Mollick presented a YouTube channel of videos created using GenAI. Glaring copyright and IP issues notwithstanding, one thing in particular about the post rubbed me up the wrong way: the term “democratizing” applied to AI and creativity. Mollick shares a lot…
Some technologies are created with values, others have values thrust upon them
Back in 2023, I wrote an extensive series of articles called Teaching AI Ethics in which I explored nine areas of ethical concerns with artificial intelligence. In those early articles, I argued that it is absolutely necessary to wrestle with the ethical challenges of artificial intelligence, particularly as generative applications such as ChatGPT, Microsoft Copilot,…
AI Detection in Education is a Dead End
When you live in a research/social media bubble like I do, it’s easy to take certain things for granted. For example, I always overestimate the number of people who are using generative AI regularly in their day to day work. The reality, as of April 2024, is the majority of people within and outside of…
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