AI

https://myfest.equityunbound.org

Link to webpage https://equityunbound.org Tools shown include: SciSpace (https://typeset.io), Poe.com, Jenny.ai and more

The McKinsey Global Institute has just released a report that explores how generative AI tech like ChatGPT may affect employment and work in America by 2030.

Using ChatGPT for help with our teaching, writing, and administrative work with Anna Mills #MyFest23 #equityUnbound Link to webpage link to this conference:

With the release of ChatGPT in November 2022, the field of higher education rapidly became aware that generative AI can complete or assist in many of the kinds of tasks traditionally used for assessment. This has come as a shock, on the heels of the shock of the pandemic. How should assessment practices change? Should we teach about generative AI or use it pedagogically? If so, how? Here, we propose that a set of open educational practices, inspired by both the Open Educational Resources (OER) movement and digital collaboration practices popularized in the pandemic, can help educators cope and perhaps thrive in an era of rapidly evolving AI. These practices include turning toward online communities that cross institutional and disciplinary boundaries. Social media, listservs, groups, and public annotation can be spaces for educators to share early, rough ideas and practices and reflect on these as we explore emergent responses to AI. These communities can facilitate crowdsourced curation of articles and learning materials. Licensing such resources for reuse and adaptation allows us to build on what others have done and update resources. Collaborating with students allows emergent, student-centered, and student-guided approaches as we learn together about AI and contribute to societal discussions about its future. We suggest approaching all these modes of response to AI as provisional and subject to reflection and revision with respect to core values and educational philosophies. In this way, we can be quicker and more agile even as the technology continues to change. We give examples of these practices from the Spring of 2023 and call for recognition of their value and for material support for them going forward. These open practices can help us collaborate across institutions, countries, and established power dynamics to enable a richer, more justly distributed emerging response to AI.

Thoughts on books, audiobooks, comics, running, higher education, teaching, pop culture, open access, & artificial intelligence from Lance Eaton

Alternative Assessment in the AI Era with Eliana Elkhoury #MyFest23 #equityUnboundLink to webpage link to this conference: https://myfest.equityunbound.org

In 2018, I received a grant that supported the adoption of an open educational resource textbook for my Introduction to Advertising large lecture course. Since that time, more than 1,000 students h…

Covering the state of play as of Summer, 2023

Link to webpage link to this conference: https://myfest.equityunbound.org

Teaching Assistants that Actually Assist Instructors with Teaching -- from opencontent.org by David Wiley "...what if generative AI could provide every instructor with a genuine teaching assistant – a teaching assistant that actually assisted instructors with their teaching?" Assignment Makeovers in the AI Age: Reading Response Edition -- from derekbruff.org by Derek Bruff For my

Google's course on generative AI launched. It's a great general introduction covering LLMs, Diffusion Models and attention. I think you should give it a go, ...

When you read that something is “AI-powered,” don’t believe the hype.

Transform your doodles into real images in seconds

Students saw red flags in the study and holes in the methodology.

It’s easy to forget how little students and educators understand generative AI’s flaws. Once they actually try it out, they’ll see that it can’t replace them.

A blog about search, search skills, teaching search, learning how to search, learning how to use Google effectively, learning how to do research. It also covers a good deal of sensemaking and information foraging.

As educators, we know the potential that artificial intelligence (AI) has for our profession. Generative AI, a subset of AI that can generate new and ...

Chat GPT (Conversational Generative Pre-training Transformer) , is a language processing tool. It aids users to answer questions - write, code. explain various things, provides diverse information, etc. It is today’s trendy buzzword that has been humming through the AI world, the world of techies and even among us - ordinary workers and learners. But is it a fad, a trend or just another novel idea that will soon fade away? It certainly is here to stay, With further exploration, research, testing and application in real-world scenarios like responses to complex questions, accuracy, reliability, validity, training, etc. Chat GPT is progressively taking the world by storm and making its mark, bringing forth L &D benefits never seen before.There is no denying that it is a sensational tool that continues to flourish and evolve.. There are different opinions floating around regarding its benefits to the learning industry hence, it is necessary to have a basic understanding of what it is and how it can help us empower our learners in their quest for more knowledge and quick access to information for immediate application and solutions. In fact it is being currently tried as a “teaching assistant” in certain fields of learning.Come and join us for an exciting time to learn more about ChatGPT and how it can help you enhance your Instructional Design and Delivery.Join our panelists Megan Torrance, Josh Cavalier and Ray Jimenez as they discuss these areas that may be powerfully impacted by leveraging ChatGPT: Instructional design and ChatGPT tools and technologies like video, writing, images, audio,etc. Leadership, strategies, and data analytics Platform and systems integration with ChatGPT Impacts to learning systems

It’s the latest tech company to come under scrutiny for allegedly violating consumer protection laws.

Since the release of ChatGPT, huge amounts of attention and funding have been directed toward chatbots. These A.I. systems are trained on copious amounts of human-generated data and designed to predict the next word in a given sentence. They are hilarious and eerie and at times dangerous. But what if, instead of building A.I. systems that mimic humans, we built those systems to solve some of the most vexing problems facing humanity? In 2020, Google DeepMind unveiled AlphaFold, an A.I. system that uses deep learning to solve one of the most important challenges in all of biology: the so-called protein-folding problem. The ability to predict the shape of proteins is essential for addressing numerous scientific challenges, from vaccine and drug development to curing genetic diseases. But in the 50-plus years since the protein-folding problem had been discovered, scientists had made frustratingly little progress. Enter AlphaFold. By 2022, the system had identified 200 million protein shapes, nearly all the…

Why you should understand how to teach with AI tools — even if you have no plans to actually use them.

World, meet Alex, Bill, and Mophat, three workers whose labor was essential to filtering violence and abuse out of ChatGPT.For the first time they’re ready to tell you who they are—and how the work unraveled their lives and their families.https://t.co/QXqCRAcOZX pic.twitter.com/8PjWjihMoD— Karen Hao 郝珂灵 (@_KarenHao) July 11, 2023

Does your university or program have a statement on AI and writing? Would you drop a link below?— John Gallagher (@MereSophistry) July 11, 2023

William Quarterman, a student at the University of California at Davis, was accused of cheating. His professor said he’d used ChatGPT to take a history ...